This document describes an intelligent agent-based job search system developed for the Android environment. The system uses several intelligent agents including an applicant agent, job search agent, and employer agent. The applicant agent allows users to configure their search preferences. The job search agent interacts with employer agents to retrieve job listings and uses fuzzy preference rules and utility theory to match jobs to applicants based on their preferences. It calculates the expected utility of each job and ranks them for the applicant. The employer agent allows employers to post job vacancies and provide ratings and feedback. The system aims to provide a more personalized and intelligent job search experience for users compared to traditional online job boards.
BIOMETRIC APPLICATION OF INTELLIGENT AGENTS IN FAKE DOCUMENT DETECTION OF JOB...IJCSEIT Journal
The Job selection process in today’s globally competitive economy can be a daunting task for prospective
employees no matter their experience level. Although many years of research has been devoted to job
search and application resulting in good integration with information technology including the internet and
intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas
include the quality of jobs associated with applicants in the job search by profiling the needs of employers
against the needs of prospective employees and the security and verifications schemes integrated to reduce
the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography
technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and
increased security. With this in mind we propose the intelligent mobile agents instead of human agents to
perform the Job search using fuzzy preferences which is been published elsewhere and application
operations incorporating the use of agents with a trust authority to establish employer trust and validate
applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP
and Android to provide a robust, secure, user friendly solution.
IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICESIAEME Publication
As we know there are multiple users and they access various websites and every website contains multiple web pages. It is difficult for the users to find a document that is equal to their needs. Users browse their request by submitting their queries to any search engine like Google or Yahoo and it is has been found that most of the results given by the search engines are irrelevant most of the time. Web crawlers are most of the important components used by a search engine that collects web pages from the web. It is not easy for a crawler to download specific web pages. The ontology, created from the browsing history, was then parsed for the entered search query from users and the corresponding results were returned to the user providing a semantically organized and relevant output. An ontology-based web crawler uses ontological concepts for improving its performance. So it will be easy for the users to get relevant data what as per the user search request. We have focused on self-adaptive semantic focused crawler, SeSM and StSM algorithm.
This document summarizes a hybrid dental charting system called HyDeCS that allows for electronic dental records to be accessed both online and offline. HyDeCS was created to address limitations of existing dental systems that only work when connected to the internet. It incorporates modules for patient information, treatment, appointments, dental diseases and charting. HyDeCS can be used in clinics both online and offline, as well as during outreach activities outside of clinics without an internet connection. Data entered offline is synced once the system reconnects online through database replication technologies. The system aims to improve dental care access and management through integrated electronic records.
Unified theory of acceptance and use of technology of e government services i...Conference Papers
This document describes a study that developed and validated a survey instrument to understand technology acceptance of an e-Government system called MYGOVSVC among Malaysian government employees. A literature review was conducted on previous studies applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to e-Government systems. A 21-item survey was developed containing questions on performance expectancy, effort expectancy, hedonic motivation, and facilitating conditions. The survey was translated to Malay and validated with stakeholders. It was administered to 419 government employees and results found the survey to be reliable in measuring acceptance of the MYGOVSVC system. The validated survey can be used to help improve e-Government services for Malaysian citizens.
SEARCH FOR ANSWERS IN DOMAIN-SPECIFIC SUPPORTED BY INTELLIGENT AGENTSijcsit
The document describes a novel approach to question answering on mobile devices focused on specific domains like labor law. It presents an architecture that allows users to ask questions in natural language and receive accurate answers from a mobile device. The system indexes labor law articles and uses intelligent agents to analyze questions and find relevant articles through techniques like searching article numbers, analyzing question terms, lemmatization, and fuzzy string matching. Evaluation on a corpus of Mexican labor law showed the approach can effectively and reliably answer domain-specific questions.
IRJET-Wireless Sensing Network for Agriculture MonitoringIRJET Journal
This document describes a proposed document management system called "Docs Track" that would allow users to securely store personal documents like identification cards, education certificates, and bills online. It discusses how the current process of managing physical documents is time-consuming and error-prone. The proposed system would have 3 types of users - regular users who can upload and manage their documents, administrators who can verify documents, and organizations who can request to view specific documents from users. The system aims to streamline document sharing for services like opening bank accounts or obtaining government certificates by allowing verified documents to be digitally shared as needed.
The document describes a novel approach to question answering on mobile devices for domain-specific questions, focusing on Mexico's labor law domain. It presents an architecture that allows users to ask questions in natural language via mobile devices. The questions are processed by intelligent agents that search text from Mexico's Federal Labor Law using various techniques like analyzing the question, searching relevant articles and passages, and applying lemmatization, specialized thesauri, or fuzzy string matching to extract the answer. Evaluation on a corpus of labor law showed the approach can effectively and reliably answer domain-specific questions on mobile devices.
Millennials and the use of social networking sites as a job searching tooljournalBEEI
This research is conducted to examine the factors that influence the behavioural intention of millienials in using SNS when seeking for a job. The data was collected from respondents who are from the generation Y demographic and actively looking for jobs. The respondents must possess some experience in using SNS when job hunting. The data was then gathered and analyzed using partial least square (PLS) which encompasses the measurement and structural models of the study. The findings revealed that three of the constructs as applied in TAM are statistically significant to behavioural intention. The three factors that influenced the job seekers’ intention to use SNSs as a job search tool are; perceived usefulness, perceived ease of use and privacy concerns. All these factors are elements which contribute to and have a significant relationship with job seekers’ intention to use SNSs, as verified using PLS data analysis. The recruiters or employers who intend to adopt SNSs in the recruitment process are advised to design the recruitment plan regarding the utilization of SNSs to be more convenient and user-friendly. This study provides insight and knowledge regarding the impact of technology in online job application and hiring processes.
BIOMETRIC APPLICATION OF INTELLIGENT AGENTS IN FAKE DOCUMENT DETECTION OF JOB...IJCSEIT Journal
The Job selection process in today’s globally competitive economy can be a daunting task for prospective
employees no matter their experience level. Although many years of research has been devoted to job
search and application resulting in good integration with information technology including the internet and
intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas
include the quality of jobs associated with applicants in the job search by profiling the needs of employers
against the needs of prospective employees and the security and verifications schemes integrated to reduce
the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography
technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and
increased security. With this in mind we propose the intelligent mobile agents instead of human agents to
perform the Job search using fuzzy preferences which is been published elsewhere and application
operations incorporating the use of agents with a trust authority to establish employer trust and validate
applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP
and Android to provide a robust, secure, user friendly solution.
IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICESIAEME Publication
As we know there are multiple users and they access various websites and every website contains multiple web pages. It is difficult for the users to find a document that is equal to their needs. Users browse their request by submitting their queries to any search engine like Google or Yahoo and it is has been found that most of the results given by the search engines are irrelevant most of the time. Web crawlers are most of the important components used by a search engine that collects web pages from the web. It is not easy for a crawler to download specific web pages. The ontology, created from the browsing history, was then parsed for the entered search query from users and the corresponding results were returned to the user providing a semantically organized and relevant output. An ontology-based web crawler uses ontological concepts for improving its performance. So it will be easy for the users to get relevant data what as per the user search request. We have focused on self-adaptive semantic focused crawler, SeSM and StSM algorithm.
This document summarizes a hybrid dental charting system called HyDeCS that allows for electronic dental records to be accessed both online and offline. HyDeCS was created to address limitations of existing dental systems that only work when connected to the internet. It incorporates modules for patient information, treatment, appointments, dental diseases and charting. HyDeCS can be used in clinics both online and offline, as well as during outreach activities outside of clinics without an internet connection. Data entered offline is synced once the system reconnects online through database replication technologies. The system aims to improve dental care access and management through integrated electronic records.
Unified theory of acceptance and use of technology of e government services i...Conference Papers
This document describes a study that developed and validated a survey instrument to understand technology acceptance of an e-Government system called MYGOVSVC among Malaysian government employees. A literature review was conducted on previous studies applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to e-Government systems. A 21-item survey was developed containing questions on performance expectancy, effort expectancy, hedonic motivation, and facilitating conditions. The survey was translated to Malay and validated with stakeholders. It was administered to 419 government employees and results found the survey to be reliable in measuring acceptance of the MYGOVSVC system. The validated survey can be used to help improve e-Government services for Malaysian citizens.
SEARCH FOR ANSWERS IN DOMAIN-SPECIFIC SUPPORTED BY INTELLIGENT AGENTSijcsit
The document describes a novel approach to question answering on mobile devices focused on specific domains like labor law. It presents an architecture that allows users to ask questions in natural language and receive accurate answers from a mobile device. The system indexes labor law articles and uses intelligent agents to analyze questions and find relevant articles through techniques like searching article numbers, analyzing question terms, lemmatization, and fuzzy string matching. Evaluation on a corpus of Mexican labor law showed the approach can effectively and reliably answer domain-specific questions.
IRJET-Wireless Sensing Network for Agriculture MonitoringIRJET Journal
This document describes a proposed document management system called "Docs Track" that would allow users to securely store personal documents like identification cards, education certificates, and bills online. It discusses how the current process of managing physical documents is time-consuming and error-prone. The proposed system would have 3 types of users - regular users who can upload and manage their documents, administrators who can verify documents, and organizations who can request to view specific documents from users. The system aims to streamline document sharing for services like opening bank accounts or obtaining government certificates by allowing verified documents to be digitally shared as needed.
The document describes a novel approach to question answering on mobile devices for domain-specific questions, focusing on Mexico's labor law domain. It presents an architecture that allows users to ask questions in natural language via mobile devices. The questions are processed by intelligent agents that search text from Mexico's Federal Labor Law using various techniques like analyzing the question, searching relevant articles and passages, and applying lemmatization, specialized thesauri, or fuzzy string matching to extract the answer. Evaluation on a corpus of labor law showed the approach can effectively and reliably answer domain-specific questions on mobile devices.
Millennials and the use of social networking sites as a job searching tooljournalBEEI
This research is conducted to examine the factors that influence the behavioural intention of millienials in using SNS when seeking for a job. The data was collected from respondents who are from the generation Y demographic and actively looking for jobs. The respondents must possess some experience in using SNS when job hunting. The data was then gathered and analyzed using partial least square (PLS) which encompasses the measurement and structural models of the study. The findings revealed that three of the constructs as applied in TAM are statistically significant to behavioural intention. The three factors that influenced the job seekers’ intention to use SNSs as a job search tool are; perceived usefulness, perceived ease of use and privacy concerns. All these factors are elements which contribute to and have a significant relationship with job seekers’ intention to use SNSs, as verified using PLS data analysis. The recruiters or employers who intend to adopt SNSs in the recruitment process are advised to design the recruitment plan regarding the utilization of SNSs to be more convenient and user-friendly. This study provides insight and knowledge regarding the impact of technology in online job application and hiring processes.
This document discusses the marriage between human resource management and data science. It argues that due to advances in information technology, HR must integrate data science. This marriage has given birth to hybrid fields like HR analytics and influenced organizational outcomes. The effects of this marriage require a systematic narrative. The document attempts to provide such a narrative by examining the impacts on functional, procedural, and decision-making aspects based on evidence from corporations around the world. It serves as a foundational piece for further applying information and communications technology to HR management and development.
Fakebuster fake news detection system using logistic regression technique i...Conference Papers
The document describes a fake news detection system called "FAKEBUSTER" that was developed using logistic regression in machine learning. It analyzed past research that found logistic regression achieved 79-89% accuracy in detecting fake news. The system was trained on a dataset of news articles labeled as real or fake. It uses TF-IDF to convert text to numerical features for the logistic regression model. The model was integrated into a web application called "FAKEBUSTER" that allows users to input a news article or URL to check if it is real or fake. Evaluation found the stance detection approach improved the model's accuracy for fake news classification.
ANALYZING AND IDENTIFYING FAKE NEWS USING ARTIFICIAL INTELLIGENCEIAEME Publication
The main reason behind the spread of fake news is because of many fake and hyperpartisan sites present on the Internet. These fake sites try to manipulate the truth which creates misunderstanding in society. Therefore, it is important to detect fake news and try to make people aware of the truth. This paper gives an insight into how to detect fake news using Machine Learning and Deep Learning Techniques. On observing our data, we have categorized our data into five attributes namely Title, Text, Subject, Date, and Labels. In order to develop an efficient fake news detection system, the feature along with its degree of impact on the system must be taken into consideration. This paper attempts at providing a detailed analysis of detecting fake news using various models such as LSTM, ANN, Naïve Bayes, SVM, Logistic Regression, XGBoost, and Bert.
This proposed system will help in consulting the career opportunities to the students after 10th, 12th or graduation for their bright future and will show the recent industrial trends in that particular profession. In this system we will be working on real time web-based application which will provide students forum for discussion, real time job updates from industry, different industrial events nearby places, live chat with the professional experts. User can apply for the jobs. Database management, real time system and web-based languages will be used design this application. This proposed system will provide the direct communication platform for students with the industry. This system will help the students or employees to build the professional career, resume according to the format approved by industry. User can update and share their documents and experiences with the industry. This system will provide automated verification system with the help of network security. Priyanka Bodke | Nikita Kale | Sneha Jha | Vaishnavi Joshi"Real Time Application for Career Guidance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11525.pdf http://www.ijtsrd.com/engineering/computer-engineering/11525/real-time-application-for-career-guidance/priyanka-bodke
In this paper discussed about the role of e-HR in government/private organization. Electronic human resources are the part of electronic human management (e-HRM). E-HRM is the department of organization; electronic human resources are a function of HR that concerned with the use management and regulation of electronic information and processes within an organization. In this paper also discussed about the term of e-HRM (Electronic Human Resources Management) and e-HRIS (Human Resources Information System). The main goal of this paper is the important of e-HR (Electronic Human Resources) in the organization/industries. In this paper also discussed about the e-HR services, e-HR life cycle. E-HR is the latest technology in which use the technology and provide the good services of customer and employee. In this paper also discussed about the 5-stages of e-HR life cycle in need of improvement, e-HR implementation and also revenue cycle management.
Artificial intelligence is illuminating the way to protect animal species by providing good data on what is happening to wildlife. AI gives a comprehensive view of the planet's biodiversity and assists in the formulation of conservation policy.
AI assistants like IBM Watson are being trained to assist physicians by providing
differential diagnoses based on symptoms, medical history, and test results.
Radiology: Deep learning algorithms can analyze medical images like X-rays and CT/MRI
scans to detect abnormalities. Some algorithms can even localize tumors.
Dermatology: Deep learning has been used to analyze skin lesion images to detect skin
cancers like melanoma at a level comparable to dermatologists.
Ophthalmology: AI is being used to analyze retinal images and detect diseases like diabetic
retinopathy and macular degeneration.
Cardiology: Algorithms can analyze ECGs to detect arrhythmias and perform other cardiac
image analysis tasks.
The document describes an AI-driven Occupational Skills Generator (AIOSG) that aims to automate the process of creating occupational skills reference documents. The AIOSG utilizes an intelligent web crawler, natural language processing, neural networks, and a blockchain to gather data on occupational skills from various sources, analyze the data, and generate standardized skills reference documents. It is intended to reduce the time and resources required to manually produce these documents while ensuring more comprehensive and up-to-date skills information. The AIOSG system architecture and its use of analytics, artificial intelligence, and blockchain technologies are explained in detail.
Study and Implementation of a Personalized Mobile Search Engine for Secure Se...IRJET Journal
This document describes a proposed personalized mobile search engine (PMSE) that learns users' content and location preferences from clickthrough data and GPS locations to provide personalized search results. The PMSE uses an ontology-based user profile learned from clicks and locations, without requiring extra user effort. It has a client-server architecture where the client handles interactions and stores privacy-sensitive click data, while the server performs computationally intensive tasks like concept extraction, training, and result reranking. The PMSE aims to improve search personalization by separately considering content and location concepts based on user interests.
Computer vision, in its most basic sense, is trying to make the machine do what the human brain can do with vision. That's why we call it artificial vision. Its most basic task is to recognize objects. Recognizing and grouping objects. The aim is to make sense of the content of digital images.
Going Mobile With Enterprise Applications - A study on user behavior and perceptions.
This paper presents findings from three research studies carried out to understand the user behavior and explore the value in using mobile devices for accessing enterprise products.
The focus is essentially on the expectations of the end-‐users, namely, information technology (IT) administrators. In this case, we were exploring how the users of enterprise products might want to leverage mobile technology to access their everyday tasks and information, and therefore identify potential opportunities and challenges for extending their user experience to such devices.
JOB PORTAL: FINDING BEST JOB AND BEST CANDIDATEIRJET Journal
The document describes a proposed job portal Android application that aims to make the process of finding jobs and candidates more efficient. The application would allow both job seekers and recruiters to register and have profiles to search/post jobs, apply for jobs, and communicate through an in-app chat feature. It is meant to address issues with existing systems like a lack of communication between candidates and recruiters and the need to use desktops/laptops for job searching. The proposed application would provide a common platform for recruiters and candidates with simple interfaces to help connect the two parties.
A Machine Learning Approach For Automation Of Resume Recommendation SystemSara Alvarez
1) The document proposes a machine learning approach to automate resume recommendation systems to help simplify the time-consuming process of candidate screening and shortlisting.
2) It discusses using classifiers like Random Forest, Naive Bayes, and Support Vector Machines to classify resumes and recommend them based on job descriptions to help hiring managers more efficiently find qualified candidates.
3) The system would aim to handle large numbers of resumes through classification and recommendation to enhance the candidate selection process.
This document summarizes an internship report submitted for a Master's degree. The internship involved building an online marketplace to match job seekers with employers. Key aspects included developing an instant automated search feature and a ranking algorithm. The search allows users to immediately view relevant results based on their criteria. The ranking algorithm orders results by factors like job category, type, position, and experience to provide the most useful listings. The system aims to improve on traditional job boards and connect users more efficiently through an advanced profile-based approach.
SMART AGENT BASED SEARCH FOR ADMISSION IN INSTITUTIONS OF HIGHER LEARNINGIJITE
Early admission systems saw people applying to universities by filling out applications forms and placing
them in suitable envelopes and sending them through the local postal agency. This was not considered to
be cost or time effective, and this method was also not efficient. This system however needed some
improvement due to the huge workload on administrators. So researchers and software developers
improved the system so that between 1999 and 2008 application and admission was done via the Internet.
Also many Ranking system like ARWU, shanghai etc. been used for ranking the universities and colleges
around the world which would enable people choosing the universities and colleges for education on
factors like publication, funding, infrastructure and so.
The Internet has already brought the humans together in a new, exciting, and unexpected ways, and the
same is also happening to our prevalent adoption of digital mobile devices that has paved the way for the
development of many innovative applications in the commercial domain. While considering such mobile
devices for an application towards higher education in an educational institution, there has been some
amount of work done using intelligent agents. But still those agent based systems got some drawbacks
which motivated towards developing the present Agent based system to provide Smart agent based system
for higher Learning search not in Jamaican context alone but also elsewhere with these drawbacks
alleviated. The agents developed will be based on using fuzzy preference rules and heuristics, to make
accurate decisions based on the user’s criteria or specifications using JADE-LEAP on Android handset.
The system got Google map feature, intelligence in admission system and also warning for universities
with low rating. These findings of this research will be presented as screenshots.
Online job placement system project report.pdfKamal Acharya
Our project Expert.Com Job Placement System has been designed to help the millions of unemployed youth to get in touch with the major companies which would help them in getting the right kind of jobs and would also help the companies to get the appropriate candidates for appropriate jobs.
International conference on business e recruitmentibalakumar
E-recruitment is integration and utilization of internet technology to improve efficiency and effectiveness of recruitment process. E-recruitment Provides HR and Recruiters with the toolsTechnology and the capacity to deliver time and costeffective resourcing. E-recruitment can be importanttool in making organizational needs by providinginformation regarding potential hires.This paper deals with the Importance of e-recruitment in terms of cost, time and qualityefficiency in Indian Organizations /in Currentscenario. So this paper concludes with some globalE-Recruitment service providers as well as itemphasizes on the need of adopting such system byIndian Organization
This document describes a proposed Web-Based Applicants' Matching System (WBAMS) that would match suitable job applicants to appropriate jobs. Key points:
- The current manual recruitment process at the Federal College of Chemical and Leather Technology has problems like high workload, lack of information.
- The proposed WBAMS would allow applicants to apply online and store applicant and job data in a central database. It would use criteria to match applicants to jobs and shortlist the most suitable candidates.
- The system would be designed using technologies like MySQL database, Apache web server. A three-tier architecture model is proposed for communication between the database, application logic and user interface layers.
An Integrated E-Recruitment System For Automated Personality Mining And Appli...Fiona Phillips
The document summarizes a research paper that presents an integrated e-recruitment system for automated personality mining and applicant ranking. The proposed system implements automated candidate ranking based on criteria extracted from applicants' LinkedIn profiles, including education, work experience, loyalty, and personality traits mined from blog text using linguistic analysis. The system was tested in a real-world recruitment scenario, where it effectively discriminated top candidates and provided rankings consistent with expert recruiters. The system aimed to increase recruitment efficiency by automating initial screening and limiting interviews to top candidates.
IRJET- Advanced Labour Finding Web and Android ApplicationIRJET Journal
This document presents a proposed advanced labor finding web and Android application. The application aims to help customers more easily find workers and help workers obtain suitable work throughout the year to improve their financial situation. It allows workers to register and customers to select workers for jobs. When a customer selects a worker, the system notifies an administrator who communicates with the worker. Once work is complete, the worker notifies the administrator to send a bill to the customer. The system architecture includes customers and workers using the Android app while an administrator manages the web part and central database. In conclusion, the document discusses how technology can impact hiring processes by increasing applicant volumes but potentially reducing quality if not coupled with improved screening capabilities.
This document presents an enhanced recruitment portal developed for an engineering school to connect students with job opportunities. It describes the system's functions for job suggestions based on students' skills and application matching to aid employers. The system is intended to be useful for both students exploring jobs and employers finding qualified candidates. It discusses the system's architecture with three main agents: students, businesses, and an administrator. Students can search and apply for jobs, while businesses can post openings and filter applications. The administrator verifies businesses and monitors overall system activity. The goal is to streamline the traditional recruitment process and provide equal opportunities for students to find suitable positions.
This document presents the design of an online job portal created by students Akshay Ghanekar, Deepak Yadav, Pradeep Kumar, and Ajay Maurya under the guidance of Prof. Sachin Narkhede. The project aims to minimize problems faced by job applicants in finding suitable jobs. Key modules include ones for job seekers to post resumes and employers to post vacancies. An administration module manages user profiles and the site. The proposed system offers advanced filtering, cost-effectiveness, SMS notifications, and support to benefit both job seekers and employers.
This document discusses the marriage between human resource management and data science. It argues that due to advances in information technology, HR must integrate data science. This marriage has given birth to hybrid fields like HR analytics and influenced organizational outcomes. The effects of this marriage require a systematic narrative. The document attempts to provide such a narrative by examining the impacts on functional, procedural, and decision-making aspects based on evidence from corporations around the world. It serves as a foundational piece for further applying information and communications technology to HR management and development.
Fakebuster fake news detection system using logistic regression technique i...Conference Papers
The document describes a fake news detection system called "FAKEBUSTER" that was developed using logistic regression in machine learning. It analyzed past research that found logistic regression achieved 79-89% accuracy in detecting fake news. The system was trained on a dataset of news articles labeled as real or fake. It uses TF-IDF to convert text to numerical features for the logistic regression model. The model was integrated into a web application called "FAKEBUSTER" that allows users to input a news article or URL to check if it is real or fake. Evaluation found the stance detection approach improved the model's accuracy for fake news classification.
ANALYZING AND IDENTIFYING FAKE NEWS USING ARTIFICIAL INTELLIGENCEIAEME Publication
The main reason behind the spread of fake news is because of many fake and hyperpartisan sites present on the Internet. These fake sites try to manipulate the truth which creates misunderstanding in society. Therefore, it is important to detect fake news and try to make people aware of the truth. This paper gives an insight into how to detect fake news using Machine Learning and Deep Learning Techniques. On observing our data, we have categorized our data into five attributes namely Title, Text, Subject, Date, and Labels. In order to develop an efficient fake news detection system, the feature along with its degree of impact on the system must be taken into consideration. This paper attempts at providing a detailed analysis of detecting fake news using various models such as LSTM, ANN, Naïve Bayes, SVM, Logistic Regression, XGBoost, and Bert.
This proposed system will help in consulting the career opportunities to the students after 10th, 12th or graduation for their bright future and will show the recent industrial trends in that particular profession. In this system we will be working on real time web-based application which will provide students forum for discussion, real time job updates from industry, different industrial events nearby places, live chat with the professional experts. User can apply for the jobs. Database management, real time system and web-based languages will be used design this application. This proposed system will provide the direct communication platform for students with the industry. This system will help the students or employees to build the professional career, resume according to the format approved by industry. User can update and share their documents and experiences with the industry. This system will provide automated verification system with the help of network security. Priyanka Bodke | Nikita Kale | Sneha Jha | Vaishnavi Joshi"Real Time Application for Career Guidance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11525.pdf http://www.ijtsrd.com/engineering/computer-engineering/11525/real-time-application-for-career-guidance/priyanka-bodke
In this paper discussed about the role of e-HR in government/private organization. Electronic human resources are the part of electronic human management (e-HRM). E-HRM is the department of organization; electronic human resources are a function of HR that concerned with the use management and regulation of electronic information and processes within an organization. In this paper also discussed about the term of e-HRM (Electronic Human Resources Management) and e-HRIS (Human Resources Information System). The main goal of this paper is the important of e-HR (Electronic Human Resources) in the organization/industries. In this paper also discussed about the e-HR services, e-HR life cycle. E-HR is the latest technology in which use the technology and provide the good services of customer and employee. In this paper also discussed about the 5-stages of e-HR life cycle in need of improvement, e-HR implementation and also revenue cycle management.
Artificial intelligence is illuminating the way to protect animal species by providing good data on what is happening to wildlife. AI gives a comprehensive view of the planet's biodiversity and assists in the formulation of conservation policy.
AI assistants like IBM Watson are being trained to assist physicians by providing
differential diagnoses based on symptoms, medical history, and test results.
Radiology: Deep learning algorithms can analyze medical images like X-rays and CT/MRI
scans to detect abnormalities. Some algorithms can even localize tumors.
Dermatology: Deep learning has been used to analyze skin lesion images to detect skin
cancers like melanoma at a level comparable to dermatologists.
Ophthalmology: AI is being used to analyze retinal images and detect diseases like diabetic
retinopathy and macular degeneration.
Cardiology: Algorithms can analyze ECGs to detect arrhythmias and perform other cardiac
image analysis tasks.
The document describes an AI-driven Occupational Skills Generator (AIOSG) that aims to automate the process of creating occupational skills reference documents. The AIOSG utilizes an intelligent web crawler, natural language processing, neural networks, and a blockchain to gather data on occupational skills from various sources, analyze the data, and generate standardized skills reference documents. It is intended to reduce the time and resources required to manually produce these documents while ensuring more comprehensive and up-to-date skills information. The AIOSG system architecture and its use of analytics, artificial intelligence, and blockchain technologies are explained in detail.
Study and Implementation of a Personalized Mobile Search Engine for Secure Se...IRJET Journal
This document describes a proposed personalized mobile search engine (PMSE) that learns users' content and location preferences from clickthrough data and GPS locations to provide personalized search results. The PMSE uses an ontology-based user profile learned from clicks and locations, without requiring extra user effort. It has a client-server architecture where the client handles interactions and stores privacy-sensitive click data, while the server performs computationally intensive tasks like concept extraction, training, and result reranking. The PMSE aims to improve search personalization by separately considering content and location concepts based on user interests.
Computer vision, in its most basic sense, is trying to make the machine do what the human brain can do with vision. That's why we call it artificial vision. Its most basic task is to recognize objects. Recognizing and grouping objects. The aim is to make sense of the content of digital images.
Going Mobile With Enterprise Applications - A study on user behavior and perceptions.
This paper presents findings from three research studies carried out to understand the user behavior and explore the value in using mobile devices for accessing enterprise products.
The focus is essentially on the expectations of the end-‐users, namely, information technology (IT) administrators. In this case, we were exploring how the users of enterprise products might want to leverage mobile technology to access their everyday tasks and information, and therefore identify potential opportunities and challenges for extending their user experience to such devices.
JOB PORTAL: FINDING BEST JOB AND BEST CANDIDATEIRJET Journal
The document describes a proposed job portal Android application that aims to make the process of finding jobs and candidates more efficient. The application would allow both job seekers and recruiters to register and have profiles to search/post jobs, apply for jobs, and communicate through an in-app chat feature. It is meant to address issues with existing systems like a lack of communication between candidates and recruiters and the need to use desktops/laptops for job searching. The proposed application would provide a common platform for recruiters and candidates with simple interfaces to help connect the two parties.
A Machine Learning Approach For Automation Of Resume Recommendation SystemSara Alvarez
1) The document proposes a machine learning approach to automate resume recommendation systems to help simplify the time-consuming process of candidate screening and shortlisting.
2) It discusses using classifiers like Random Forest, Naive Bayes, and Support Vector Machines to classify resumes and recommend them based on job descriptions to help hiring managers more efficiently find qualified candidates.
3) The system would aim to handle large numbers of resumes through classification and recommendation to enhance the candidate selection process.
This document summarizes an internship report submitted for a Master's degree. The internship involved building an online marketplace to match job seekers with employers. Key aspects included developing an instant automated search feature and a ranking algorithm. The search allows users to immediately view relevant results based on their criteria. The ranking algorithm orders results by factors like job category, type, position, and experience to provide the most useful listings. The system aims to improve on traditional job boards and connect users more efficiently through an advanced profile-based approach.
SMART AGENT BASED SEARCH FOR ADMISSION IN INSTITUTIONS OF HIGHER LEARNINGIJITE
Early admission systems saw people applying to universities by filling out applications forms and placing
them in suitable envelopes and sending them through the local postal agency. This was not considered to
be cost or time effective, and this method was also not efficient. This system however needed some
improvement due to the huge workload on administrators. So researchers and software developers
improved the system so that between 1999 and 2008 application and admission was done via the Internet.
Also many Ranking system like ARWU, shanghai etc. been used for ranking the universities and colleges
around the world which would enable people choosing the universities and colleges for education on
factors like publication, funding, infrastructure and so.
The Internet has already brought the humans together in a new, exciting, and unexpected ways, and the
same is also happening to our prevalent adoption of digital mobile devices that has paved the way for the
development of many innovative applications in the commercial domain. While considering such mobile
devices for an application towards higher education in an educational institution, there has been some
amount of work done using intelligent agents. But still those agent based systems got some drawbacks
which motivated towards developing the present Agent based system to provide Smart agent based system
for higher Learning search not in Jamaican context alone but also elsewhere with these drawbacks
alleviated. The agents developed will be based on using fuzzy preference rules and heuristics, to make
accurate decisions based on the user’s criteria or specifications using JADE-LEAP on Android handset.
The system got Google map feature, intelligence in admission system and also warning for universities
with low rating. These findings of this research will be presented as screenshots.
Online job placement system project report.pdfKamal Acharya
Our project Expert.Com Job Placement System has been designed to help the millions of unemployed youth to get in touch with the major companies which would help them in getting the right kind of jobs and would also help the companies to get the appropriate candidates for appropriate jobs.
International conference on business e recruitmentibalakumar
E-recruitment is integration and utilization of internet technology to improve efficiency and effectiveness of recruitment process. E-recruitment Provides HR and Recruiters with the toolsTechnology and the capacity to deliver time and costeffective resourcing. E-recruitment can be importanttool in making organizational needs by providinginformation regarding potential hires.This paper deals with the Importance of e-recruitment in terms of cost, time and qualityefficiency in Indian Organizations /in Currentscenario. So this paper concludes with some globalE-Recruitment service providers as well as itemphasizes on the need of adopting such system byIndian Organization
This document describes a proposed Web-Based Applicants' Matching System (WBAMS) that would match suitable job applicants to appropriate jobs. Key points:
- The current manual recruitment process at the Federal College of Chemical and Leather Technology has problems like high workload, lack of information.
- The proposed WBAMS would allow applicants to apply online and store applicant and job data in a central database. It would use criteria to match applicants to jobs and shortlist the most suitable candidates.
- The system would be designed using technologies like MySQL database, Apache web server. A three-tier architecture model is proposed for communication between the database, application logic and user interface layers.
An Integrated E-Recruitment System For Automated Personality Mining And Appli...Fiona Phillips
The document summarizes a research paper that presents an integrated e-recruitment system for automated personality mining and applicant ranking. The proposed system implements automated candidate ranking based on criteria extracted from applicants' LinkedIn profiles, including education, work experience, loyalty, and personality traits mined from blog text using linguistic analysis. The system was tested in a real-world recruitment scenario, where it effectively discriminated top candidates and provided rankings consistent with expert recruiters. The system aimed to increase recruitment efficiency by automating initial screening and limiting interviews to top candidates.
IRJET- Advanced Labour Finding Web and Android ApplicationIRJET Journal
This document presents a proposed advanced labor finding web and Android application. The application aims to help customers more easily find workers and help workers obtain suitable work throughout the year to improve their financial situation. It allows workers to register and customers to select workers for jobs. When a customer selects a worker, the system notifies an administrator who communicates with the worker. Once work is complete, the worker notifies the administrator to send a bill to the customer. The system architecture includes customers and workers using the Android app while an administrator manages the web part and central database. In conclusion, the document discusses how technology can impact hiring processes by increasing applicant volumes but potentially reducing quality if not coupled with improved screening capabilities.
This document presents an enhanced recruitment portal developed for an engineering school to connect students with job opportunities. It describes the system's functions for job suggestions based on students' skills and application matching to aid employers. The system is intended to be useful for both students exploring jobs and employers finding qualified candidates. It discusses the system's architecture with three main agents: students, businesses, and an administrator. Students can search and apply for jobs, while businesses can post openings and filter applications. The administrator verifies businesses and monitors overall system activity. The goal is to streamline the traditional recruitment process and provide equal opportunities for students to find suitable positions.
This document presents the design of an online job portal created by students Akshay Ghanekar, Deepak Yadav, Pradeep Kumar, and Ajay Maurya under the guidance of Prof. Sachin Narkhede. The project aims to minimize problems faced by job applicants in finding suitable jobs. Key modules include ones for job seekers to post resumes and employers to post vacancies. An administration module manages user profiles and the site. The proposed system offers advanced filtering, cost-effectiveness, SMS notifications, and support to benefit both job seekers and employers.
Using Contextual Graphs as a Decision-making Tool in the Process of Hiring Ca...gerogepatton
Poor selection of employees can be a first step towards a lack of motivation, poor performance, and high turnover, to name a few. It's no wonder that organizations are trying to find the best ways to avoid these slippages by finding the best possible person for the job. Therefore, it is very important to understand the context of hiring process to help to understand which recruiting mistakes are most damaging to the organization in order to reduce the recruiting challenges faced by Human resource managers by building their capacity to ensure optimal HR performance. This paper initiates a research about how Contextual Graphs Formalism can be used for improving the decision making in the process of hiring potential candidates. An example of a typical procedure for visualization of recruiting phases is presented to show how to add contextual elements and practices in order to communicate the recruitment policy in a concrete and memorable way to both hiring teams and candidates.
Its an Online Job Portal..
it was our BE Project..
u can view it on http://jobportal.akshay.uco.im/
if is case you want our project or the contents just mail me on ajay.maurya24@yahoo.in
This document presents the design and implementation of an online job portal. It discusses how the proposed system aims to minimize problems faced by job applicants in finding suitable jobs. The key features and modules of the system are summarized as follows:
The system has separate modules for job seekers and employers. The job seeker module allows applicants to post and update their resumes and browse available vacancies. The employer module enables employers to post job openings and search applicant resumes. An administration module manages applicant and employer profiles. The system is designed to be cost-effective and provide a simple user interface with advanced search filters and SMS notifications.
The job market has expanded exponentially in the past few years. With many recruiters and candidates, it
is not an easy task to match a perfect candidate with a perfect job. The recruiter targets candidates with
the required skill sets mentioned in the job descriptions, while candidates target their dream jobs. The
search frictions and skills mismatch are persistent problems. In this paper, we build a model that would
match companies with candidates with the right skills and workers with the right company. We have
further developed an algorithm to investigate people’s hiring history for better results.
International Journal on Soft Computing, Artificial Intelligence and Applicat...ijscai
The document describes a study that developed a model to match jobs to candidates using artificial intelligence. It used job descriptions and titles classified according to Thailand's job classification systems (TSCO and TSIC) to train a stochastic gradient descent classifier. The classifier aims to take in a new job description and output the appropriate TSCO classification code. It also developed an algorithm called "Hiring History" to incorporate a person's previous hiring details into the matching.
The job market has expanded exponentially in the past few years. With many recruiters and candidates, it
is not an easy task to match a perfect candidate with a perfect job. The recruiter targets candidates with
the required skill sets mentioned in the job descriptions, while candidates target their dream jobs. The
search frictions and skills mismatch are persistent problems. In this paper, we build a model that would
match companies with candidates with the right skills and workers with the right company. We have
further developed an algorithm to investigate people’s hiring history for better results
The job market has expanded exponentially in the past few years. With many recruiters and candidates, it
is not an easy task to match a perfect candidate with a perfect job. The recruiter targets candidates with
the required skill sets mentioned in the job descriptions, while candidates target their dream jobs. The
search frictions and skills mismatch are persistent problems. In this paper, we build a model that would
match companies with candidates with the right skills and workers with the right company. We have
further developed an algorithm to investigate people’s hiring history for better results.
Job matching
A Study on Emerging Trends, Methods and Criteria for Effective E Recruitment ...ijtsrd
In recent days there is a rapid growth in the technology and it is advancing day by day. The purpose of this article is to analyse the framework of E Recruitment. It aims at analysing the emerging recent trends in E Recruitment and also the methods of electronic recruitment and the required criteria for effective recruitment. The major change the world is facing in the recent days is digital transformation hence this paper analyses a conceptual frame work of E Recruitment. The organisations in the current days are adapting the technology to easier their long procedure in recruiting and the results are effective. The technological adaption in the organisation has avoided the lengthy process of earlier methods of recruitment. This study also analyses the various methods and criterion for effective E Recruitment strategy. Prof. Rekha D. M | Naveena. N "A Study on Emerging Trends, Methods and Criteria for Effective E-Recruitment in the Organisation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26606.pdfPaper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/26606/a-study-on-emerging-trends-methods-and-criteria-for-effective-e-recruitment-in-the-organisation/prof-rekha-d-m
data mining, a prediction technique for workers.pdfNavAhmed3
This document discusses data mining techniques for predicting worker demand in the Panchayat Raj Department of Orissa, India. It provides an overview of different data mining classification systems and approaches to demand forecasting, including direct managerial input, historical ratio analysis, and regression analysis. It then describes using linear regression and data mining tools like WEKA to analyze a dataset from the PR department in order to predict untested worker attributes and determine the effectiveness of statistical techniques for workforce planning.
Similaire à JOB SEARCH SYSTEM IN ANDROID ENVIRONMENTAPPLICATION OF INTELLIGENT AGENTS (20)
Call for Papers - 5th International Conference on Cloud, Big Data and IoT (CB...ijistjournal
5th International Conference on Cloud, Big Data and IoT (CBIoT 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Cloud, Big Data and IoT.
PERFORMANCE ANALYSIS OF PARALLEL IMPLEMENTATION OF ADVANCED ENCRYPTION STANDA...ijistjournal
Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication, and data origin authentication. Most cryptographic algorithms function more efficiently when implemented in hardware than in software running on single processor. However, systems that use hardware implementations have significant drawbacks: they are unable to respond to flaws discovered in the implemented algorithm or to changes in standards. As an alternative, it is possible to implement cryptographic algorithms in software running on multiple processors. However, most of the cryptographic algorithms like DES (Data Encryption Standard) or 3DES have some drawbacks when implemented in software: DES is no longer secure as computers get more powerful while 3DES is relatively sluggish in software. AES (Advanced Encryption Standard), which is rapidly being adopted worldwide, provides a better combination of performance and enhanced network security than DES or 3DES by being computationally more efficient than these earlier standards. Furthermore, by supporting large key sizes of 128, 192, and 256 bits, AES offers higher security against brute-force attacks.
In this paper, AES has been implemented with single processor. Then the result has been compared with parallel implementations of AES with 2 varying different parameters such as key size, number of rounds and extended key size, and show how parallel implementation of the AES offers better performance yet flexible enough for cryptographic algorithms.
Submit Your Research Articles - International Journal of Information Sciences...ijistjournal
The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
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Call for Research Articles - 5th International Conference on Artificial Intel...ijistjournal
5th International Conference on Artificial Intelligence and Machine Learning (CAIML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications.
Online Paper Submission - International Journal of Information Sciences and T...ijistjournal
The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
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Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Article Submission - International Journal of Information Sciences a...ijistjournal
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This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
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This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
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6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Submit Your Research Articles - International Journal of Information Sciences...ijistjournal
The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
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International Journal of Information Sciences and Techniques (IJIST)ijistjournal
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The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
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Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
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Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
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2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
JOB SEARCH SYSTEM IN ANDROID ENVIRONMENTAPPLICATION OF INTELLIGENT AGENTS
1. International Journal of Information Sciences and Techniques (IJIST) Vol.2, No.3, May 2012
DOI : 10.5121/ijist.2012.2301 1
JOB SEARCH SYSTEM IN ANDROID ENVIRONMENT-
APPLICATION OF INTELLIGENT AGENTS
Salathiel Bogle1
and Suresh Sankaranarayanan2, 3
1
Mona Institute of Applied Science, University of West Indies, Kingston, Jamaica
salbogleprogmer@gmail.com
2
Computing & Information Systems, Institut Teknologi Brunei, Brunei
3
Department of Computing, University of West Indies, Kingston, Jamaica
pessuresh@hotmail.com
ABSTRACT
The Job selection process in today’s global economy can be a daunting task for prospective employees no
matter their experience level. It involves a detailed search of newspapers, job websites, human agents, etc,
to identify an employment opportunity that is perceived compatible to abilities, anticipated remuneration
and social needs. Search sites such as Seek, Academickeys.com, Careerbuilder.com, Job-hunt.org,
Monster.com, etc allow prospective employees to register online and search and apply for employment.
However most do very little to profile employers against employees or even attempt to confirm the validity
of the data submitted by prospective employees. Also no information exists on feedback of the employer too
on various criteria submitted by employees. Taking all these into consideration we here have proposed an
intelligent agent (instead of the human agent) to perform the same search operations by interacting with
the employer and job search coordinator agents. The proposed solution would involve the creation of an
applicant, job search and employer agents that would use fuzzy preference rules to make a proper decision
in getting a list of jobs based on the user’s search criteria and also feed the rating of the employer based on
feedback submitted by the past & current employees which is unique and first of its kind. All results
applicable are organized based on a dynamic calculation of expected utility from highest to lowest and
displayed as the job search listing. The system would use ANDROID 2.2, JADE-LEAP and the Google API
to provide a robust, user friendly solution.
KEY WORDS:
M-commerce, Agents, JADE-LEAP, Android 2.2, Job Search, Expected Utility
1. INTRODUCTION
In today’s global economy, the challenges associated with finding a suitable job is amplified by
the technicalities associated with the Job search process which is seen by experience. Normally
when we want to apply for a job, we search the newspapers; listen to radio and television
broadcasts that may advertise vacancies and also job seekers register themselves with job site
portals such as Academickeys.com, Monster.com, and Careerbuilder.com and so on. Many
2. International Journal of Information Sciences and Techniques (IJIST) Vol.2, No.3, May 2012
2
employers do not register themselves with these mediums to provide full details of the job
specifications but instead post important details on their own website only. Also with the growing
number of online job search engines, segmenting the online labor market into “information
islands”, make it almost impossible for job seekers to get an overview of all relevant positions
[1]. Therefore we do not always get to know all the vacancies, the nature and status of the
employer to decide if this is the sort of job that is being sought for. Also at times we get flattered
by the company’s profile but don’t get information about the rating of the company by the
existing or past employee in terms of salary and so. Taking all these into consideration we
propose to develop an intelligent agent (instead of a human agent) to perform the same search
operations by interacting with the employer and job search coordinator agents. We propose to
use an agent based utility concept to provide suitability profiling based on configurable factors
such as distance from work, days and shift requirements, work environment, safety and hazard
considerations, remuneration, skill-set, etc. The proposed system would be based on the
ANDROID, JADE, LEAP technologies to provide mobile and web based accessibility. These
agents would function based on fuzzy preference rules, to make a proper decision in getting a list
of jobs corresponding to the user desired specification.
The paper is organized in sections as follows. Section 2 provides details on Online Job search
system. Section 3 talks on Agent Based Systems, Ontology Agent Based Utility and Job search
theory with motivation towards developing an Agent based Job Search system. Section 4 gives
details on the Intelligent Job Search System with fuzzy preferences. Section 5 gives the
implementation details on JADE-LEAP and Android 2.2 with Google Maps API. Section 6 is
conclusion and future work.
2. ONLINE JOB SEARCH AND APPLICATION SYSTEMS
Job search is not a new area as several significant works have been done in several key areas to
modernize, improve security and increase the success and usage of these systems. Some of the
works that have inspired the conception of this research include:
‘Improving Job Search by network of professionals and companies’ research in
which job clusters were created to provide relationship between categories of
professionals and company needs and is based on a network of job offers,
discovering interesting relationships between them and clustering these to represent
companies or professional. The output is a visualization of the network of
professions and companies [2]
The ‘Semantic Web-based’ recruitment research used the data exchange between
employers, applicants and job portals; and is based on a set of vocabularies in
ontology which provide shared terms to describe occupations, industrial sectors and
job skills. Monster.com uses a similar semantic web-based technology [1]
‘Agent-based Application for Supporting Job Matchmaking for Teleworkers’ is a
multi-agent system that performs job matchmaking in teleworking community
focusing on the time consuming task of searching for appropriate working partners
[3]
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Risk Aversion and Expected Utility theories which calibrate the relationship
between risk attitudes over small and large stakes when the expected utility
hypothesis is [4]
‘Open Source Java Framework for Biometric Web Authentication Based on
BIOAPI’ which provides interoperability between different software applications
and devices by using the BioAPI specification which allows software applications to
communicate with a broad range of biometric technologies [5].
Although these and other research have contributed to the implementation of several web based
and android applications including monster.com, seek.com, academickeys.com,
careerbuilder.com, LinkUp, HireADroid, etc., there is no work that support an agent based
architecture running on JADE and Android that is capable of providing utility based ordering of
jobs, dynamic employer rating over period, fuzzy job selection rules which is unique in our
system too [6]. So taking these into consideration we have developed the Intelligent Agent-based
Mobile Job Search system. But before going into system developed we need to review details on
Intelligent Agents, Job search Theory, Agent based utility.
3. INTELLIGENT AGENT TECHNOLOGY
Over the years there has been much controversy about the definition of an artificial intelligent
agent [7]. There exists a weaker notion of agents and a stronger more controversial notion. [8]
define an agent as “anything that can be viewed as perceiving its environment through sensors
and acting upon that environment through effectors”. [9] agrees with this definition but adds
additional clarity by stating that “intelligent agents continuously perform three functions:
perception of dynamic conditions in the environment; action to affect conditions in the
environment; and reasoning to interpret perceptions, solve problems, draw inferences and
determine actions”. Agents should autonomously carry out activities by being independent or
self-directed and should not depend on external input only from human operator or other agents
to act manifesting social abilities when interacting with other agents (and possibly humans) via
some kind of agent-communication language [7-10].
Today artificial intelligent agents are integrated into many computer-based systems including
expert systems, job search engines, web searches, info-bots and so on. These autonomous agents
can perform time consuming, mundane and sometimes even life endangering tasks reliably,
instead of the human agent [11]. [10] describes a stronger notion of agency in which agents
process characteristics such as knowledge, belief, intention and obligation. Other attributes
applies to stronger agent notion. These include mobility where agents move around an electronic
network, veracity where agents will not knowingly communicate false information and
benevolence where the assumption is that an agent will try to do what it is asked and will not
have conflicting goals [12].
3.1 Job Search Theory
In a dynamic labor market, the process by which people find new jobs has importance to
policymakers and scholars also. Policymakers have made attempts to design training and other
programs to help match an individual’s skills with the requirements of potential employers
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[13][14]. Job-search theory attempts to propose strategies for making optimal employment
decisions by considering factors that determine individual’s demands and their prospect for
finding an acceptable job offer [13][14]
Job search models are measured in both discrete and continuous time and a simple model can be
used to represent the basic search behavior of an unemployed worker where the intent is to
maximize expected utility [14]. This research focuses on Discrete Time Job search. In Discrete
Time Job search the individual is interested in choosing a policy (i.e. a sequence of decision
rules) that determines whether or not to accept any particular job offer. The eventuality of the job
offer is referred to as the outcome and is dependent on preferences of the searcher such as skills,
pay, location of the employment opportunity, and the willingness of the employer to employ the
searcher. The review of job search theory provides the basis for a discussion on agent-based
utility relevant to the job search process.
3.2 Agent-based Utility
In economics, utility functions are used to model preferences of agents. These functions serve as
a device for us to assign a single number to any bundle (Handout on Utility Function
Transformation 2002). Proponents of Subjective Expected Utility (SEU) theory have offered
many axiomatisations of their models. One approach develops utility and subjective probability
as distinct concepts and provide explicit axioms which justify the combination of these into an
expected utility ranking of the strategies (options, actions, prospects) before a decision maker [4].
In 1979 weighted utility theory was proposed by [15], and then refined by [15]. [16]. [15]
replaced the independence axiom with weak independence and convexity axioms which led to a
weighted linear representation. Expected utility ‘u’ is a linear function on the simplex:
{p | p = (p1, p2 ,…, pn); ∑ pi = 1; ∀ I, pi ≥ 0}
A prospect (x1, p1; …; xn, pn) is a contract that yields outcome xi with probability pi based on the
linear function above. To simplify notation, we omit null outcomes and use (x, p) to denote the
prospect (x, p; 0, 1-p) that yields x with probability p and 0 with probability 1-p. The (riskless)
prospect that yields x with certainty is denoted by (x). Thus expectation to choose prospects is
based on
U(x1, p1; … ; xn, pn) = p1 u(x1) + … + pn u(xn).
That is, the overall utility of a prospect, denoted by U, is the expected utility of its outcomes [17]
4. INTELLIGENT AGENT BASED JOB SEARCH SYSTEM
Although online job search sites have greatly improved the job acquisition process there are still
challenges in providing a qualitative approach to job search, providing a job best suited for an
employee. The literature reviewed confirms that the technologies exist to create a system that
improves the job search process using well founded techniques such as utility theorem applied to
autonomous agents, increased accessibility through the use of mobile technology. This section
provides a design for the construction of such a system as shown in Fig 1 that integrates critical
components to enable it to work effectively. A data enabled mobile network integrated with a
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local area network (LAN) is the required platform. This enables efficient agent communication
between the mobile device and the multi-agent environment. All agents in the architecture were
designed to follow the FIPA2000 architecture for Agent Communication Language (ACL)
message passing in multi-agent systems and provide the protocol for managing agent interaction
and coordination (FIPA ACL Message Structure Specification 2002). The main objective of the
system developed[6] as shown in Fig.1 addresses the following challenges:
• Intelligent agent (instead of human agent) to perform the job search operations by
interacting with employer and job search coordinator agents (Bogle Suresh, 2011;
Bogle Suresh, 2011).
• Agent based utility concept to provide suitability profiling based on configurable factors
such as distance from work, days and shift requirements, work environment, safety and
hazard considerations, remuneration, skillset, etc.
• Employ fuzzy preference rules, to make proper decision in getting a list of jobs
corresponding to the user desired specification.
• Enable past and current employees to profile employers based on configurable metrics
Let us now discuss the design roles and responsibilities of these components in the architecture.
The Intelligent agent based Job Search design consists of the following intelligent agents. Let us
now briefly consider these agents:
Applicant Agent (AA) - The applicant agent performs the activities of a human agent for
job search and is a key entity in the process. The Applicant Agent primary
responsibilities are:
i. Submit search requests in xml data structures based on dynamic user
preferences.
ii. Allow configuration of job search importance preference matrix for applicant.
iii. Submit employer rating data.
iv. Allow configuration of salary markup and markdown thresholds.
v. Present search details in a user friendly format.
vi. Pre-populate relevant job application fields on user screen from registration
data.
The following variables are possible to be configured and represent a metric of expected utility of
a specific job presented to the applicant (Bogle and Sankaranarayanan 2011). The relevance of
utility is not confined only to the variables presented below, as the system uses a configurable
architecture.
• Industry
• Occupation
• Education
• Job Type (Full-time, part-time, contract, etc.)
• Career Level (amount of experience obtained versus what is required for
the job)
• Salary and Allowances (salary and all additional benefits)
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Job Search Agent (JSA) – This agent is the brain behind the job search process and
is equivalent in role to online job search sites, local newspaper and printed media,
etc. as it interacts with employer agents to acquire job listings and also uses fuzzy
preference rules and utility based theorem to select appropriate jobs in accordance
with input parameters and settings meta-data provided by the AA. This agent’s
primary responsibilities include:
i. Dynamically and intelligently adjust search criteria based on fuzzy
preference rules when no match is found from the dynamic SQL sent by the
Applicant Agent.
ii. Perform calculation of expected utility for each job result using the employer
importance preference for the specific job as the weighting and the applicant
importance preference as the probability matrix.
iii. Sort in an efficient manner the results by expected utility in descending order
(highest to lowest) and passing the organized results to the applicant agent
for presentation to the user.
iv. Perform formal housekeeping for all closed and expired jobs in the form of
automated archiving.
Employer Agent (EA) –The employer agent models some actions and
responsibilities performed by the employer. The main activities are:
i. Posting of job vacancies listed by employers
ii. Allow configuration of job importance criteria weightings.
iii. Interact with Job Search Agent to ensure only valid jobs appear in the
listings
.
4.1 Job Search Algorithm
The following algorithm was developed based on the system architecture as shown in Fig.1.
Applicant starts a Job Search session from the mobile phone and can be registered users and
securely login or unregistered users can search for jobs but must be registered and logged-in
to apply for any job.
• Applicant configures search settings. These settings can be modified at any point in
time.
• Google maps plugin is used to select location (city, country)
• Applicant select additional search parameters such as salary, industry, education,
allowances, rating period, etc.
• Criteria and settings from the user interface are pushed by the applicant agent to the
job search agent using customizable job search ontology.
• The job search agent builds dynamic queries from constraints and settings and
execute on the database with fuzzy preference rules as below:
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If job is available for salary below the minimum salary range within
threshold with exact or closest matching of facilities in the same or different
location or parish
If job is available for the salary range specified with exact or closest
matching facilities in the same or different location or parish
If job is not available within the salary range, find a job above the maximum
salary within threshold with exact or closest matching facilities in same or
different location or parish
Search agent also finds a job in the same industry with the facilities for any
salary in same or different location or parish
• Retrieve employer rating per employer with cache optimizations to reduce execution
of unnecessary database queries.
• Calculate the expected utility per job in listing and sort listing in descending order.
• Asynchronously alert applicant agent of the job listings.
The details on the implementation of the agents based on the architecture presented
using JADE-LEAP in Android 2.2 has been presented in Section 4 as screenshots
Fig. 1 Job Search Flow Architecture
.
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5. IMPLEMENTATION USING JADE-LEAP
The system was implemented using java development kit 1.6.0_21 (jdk1.6.0_21) as the base
runtime environment using Eclipse Helios release build 20100617-1415 with android plug-in
enabled as the development IDE. JADE 4.0.1 was used for the Agent Platform [18-19] to host all
agents, control behavior and perform agent management. JADE-LEAP 4.0 was used to enable
agents on mobile devices [20], and Jade Android 1.0 enabled JADE-LEAP agents on Android
mobile devices. Android 2.1 platform 8 with Google APIs SDK was used for the creation of the
Android application with Google Maps integration capabilities . Finally MySQL5.1 Database
Server using MySQL Workbench 5.2CE was used to create all databases for employer,
university, job search application. The list of agents in the JADE environment is shown in
Fig.2. The Applicant agent resides in a separate split container and labeled with the mobile
handset’s IMEI number. All other agents reside in the main container and are identified by their
abbreviated names.
Fig.2. Agents in JADE Container
5.1. Job Search Implementation
There are several scenarios that are possible from the discussion above, however the following
are considered with results presented:
1. Exact match in same or another location
2. Approximate match in same location with salary mark up and down.
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3. Exact match in same or another location with best matched allowances and benefits
4. Any salary match.
In Fig. 3, the user configures the search preference system by fixing the industry as 75%
important, occupation as 100% very important and job type as 0% unimportant and also salary
mark up and mark down range as 27 and 33 respectively. This is the utility transformation form
that is used to guide the priority of presentation of job to the users that makes it easier for the user
to select the appropriate job and apply. Fig.4 shows the Google map to select the location and
country where he wants to search the job.
Fig.3. Configure Search Preference Screen.
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Fig.4 Google Maps- Location Selection
In Fig.5, the applicant agent now enters the search criteria which inlcudes the Country and city
from Google Map. Also the other criteria like Salaray range as 20000 to 40000, Industry as
Accounting, Education as Associate Degree, Job type as Full time, Career level as Expereince
and Rating period as six months. Now that the search criteria is submitted, the Job search agent is
started from the Andoird handset that queires the database to match the user criteria to retrieve the
jobs and list to the user’s handset based on search preferences system set. In here the search agent
finds there exists no job that matches the criteria in Kingston, Jamaica and possess the
intelligence to match in another location i.e St. Mary with same criteria. The agent now finds one
job that matches his criteria and produces the result with salary range of 26,000 to 32000 with
rating of 4 out of 5 as shown in Fig.6. Fig.7 shows the full details of job with complete salary
package and so.
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Fig.5. Search Agent Screen -1
Fig.6. Job Search Agent Results-1 Fig. 7. Full Job Details.
Let us consider second scenario, shown in Fig.8 where the search Agent uses the salary mark-up
and mark-down criteria applied to the salary range of 40000 to 50000 to provide a margin ratio in
percentage for an increase and decrease of the upper and lower limits of the salary range specified
in the search. With a markup of 27% and markdown of 33%, the system is expected to lower the
lower bound by 33% and increase the upper bound by 27%. The search Agent searches for
software job in Computer Industry for a salary range of 40000 to 50000 in location Kingston,
Jamaica. The search agent finds Jobs in computer industry by adding salary mark up and marks
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down and produces it to the user’s Handset as shown in Fig.9. Fig.10 shows the Rating
breakdown for 6 months rating of the Employer by previous employees.
Fig.8. Search Agent Screen-2
Fig.9. Job Search Agent Results-2 Fig.10. Rating details breakdown
Let us consider third scenario as shown in Fig.11 where the user searches for software Developer
job in Computer industry for any salary range but with additional details like Medical, Housing,
Relocation and Transportation allowance within the same location i.e. Kingston. The agent here
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finds Application Engineer job that matches his criteria in Kingston with salary mark of 36000 to
40000 and also another Senior Software developer with salary of 45000 to 60000 with best
matched facilities as shown in Fig. 12 and 13. The user selects the senior software developer job
but finds one allowance i.e. Relocation as not available but with a higher salary range. Salary
values of zero allow matches of all salaries
Fig.11 Search Agent screen-3.
Fig.12. Job Search Agent Results-3 Fig.13. Full Job Details
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Let us consider fourth scenario as shown in Fig.14 where the user searches for Accounting job
for any salary range but with additional details like Medical, Housing, Relocation, Return Airfare
and Transportation allowance within the same location i.e. St. Mary. The agent here finds
Accounting in St. Mary with salary mark of 26000 to 32000 as shown in Fig.15 ignoring the
facilities as shown in Fig. 16.
Fig.14 Search Agent screen-4 Fig.15. Job Search Agent Results-4
Fig.16. Full Job Details
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In our system, it is possible for the user to submit feedback about the employer as an existing or
past employee too as shown in Fig. 17. Fig.18 shows the feedback recorded in Central database
which the employer has no control over it. This feedback will be recorded in database after
verifying the user credentials with the employer to make sure no user who has registered with the
system and not working with this past employer of the industry is not submitting the feedback.
Fig.17. Employer Job Feedback Form
Fig.18. Feedback submitted
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6. CONCLUSION FUTURE WORK
Job Search is a very involved process that could require hours of interaction with different search
sites, applications, human agents, etc. The developed system intelligently anticipates the needs of
the user and makes intelligent decisions based on fuzzy preference rules and dynamically make
location, salary markup and markdown, and allowances choices that are perceived beneficial to
the user. This is evident in the results presented in the form of scenarios and supporting
screenshots. The system could be extended to include a secure application process where the
applicant’s experience and education is verified possibly by including biometric data along with
the job application details which has been published elsewhere. In addition the job search process
could enhance the calculation of utility by including risk factors of success in choosing one job
over another. This could enhance the probability of applying for the job that would be most
suitable for an applicant on many levels.
References
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Authors
Salathiel Bogle receive his Master’s degree in Computer Science from University of West Indies, Jamaica
in 2011. Prior to that he did Bachelor’s Degree in Computer Science from University of Technology
Jamaica. He is presently working in reputed Telecommunication industry in Jamaica i.e. Digicel as Project
Manager. He has got two Research publications in IEEE proceedings and International Journal of
Computer Science, engineering and IT from his Master’s Dissertation. His research interests are mainly on
intelligent agents, Mobile computing.
Dr. Suresh Sankaranarayanan holds a PhD degree (2006) in Electrical Engineering with specialization in
Networking from the University of South Australia. Later he has worked as a Postdoctoral Research Fellow
and then as a Lecturer in the University of Technology, Sydney and at the University of Sydney,
respectively during 2006-08. He is the recipient of University of South Australia President Scholarship,
towards pursuing the PhD degree programme and has also bagged the IEEE travel award in 2005. He was
working as a Lecturer (Asst. Prof. Status) in the Department of Computing and lead the Intelligent
Networking Research Group, in the University of West Indies, Kingston, Jamaica, during 2008-11.
He has also worked as a Professor, School of Computer Science and Engineering, Vellore Institute of
Technology (VIT University), Chennai Campus, India, for a short period during 2011. He is now working
as Associate Professor, Department of Computer Information Systems, Institute of Technology, Brunei
(ITB – A technological university). Currently he is also functioning as a Visiting Professor, Department of
computing, Faculty of Pure applied Science, University of West Indies, Mona Campus, Kingston-7,
Jamaica, West Indies. He has supervised 28 research students leading to M.Sc, ME, M.Phil and M.S
degrees. He has got to his credit, as on date, about 50 fully refereed research papers published in the
Proceedings of major IEEE international conferences, as Book Chapters and in International Journals. He is
also a Reviewer and Technical Committee member for a number of IEEE Conferences and Journals. He has
conducted many tutorials, workshops and also given Guest Lectures in Networking in various Universities
and Colleges. He also managed a collaborative research programme with Oakland University, Rochester,
USA. His current research interests are mainly towards ‘Mobile and Ubiquitous Computing - Wireless
Sensor Networks, Mobile Commerce, Intelligent Agents’ used in the Health, Commercial and Engineering
sectors.