This document provides information about a proposed mobile application called "Info-Grabber" that would provide location-based advertisements and information to users. It would allow users to find their current location, popular nearby places, routes to locations, and details about selected locations. The application would use GPS for location services, MySQL for data storage, and protocols like HTTPS and FTP. It is intended to provide relevant ads and information to users based on their location in a simple interface. Potential benefits include speed, low cost, and ease of use, but privacy and spam concerns would need to be addressed.
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Information Grabber Seminar Guide
1. I NFORMATION G RABBER
Seminar Guide: Presented by:
Mrs. Archana Kadam Name : Aniket Chavan
Class: TE COMP
Roll no.: 121
Division: A
2. G ET THE ! DEA FIRST !!!
Lets start with a situation.
It often happens with all of us.
Today’s Available options:
Phone a local friend/relative.
JUST DIAL
Rickshaw/ Thela waalas.
3. Can you make out what is he trying to advertise about ??
4.
5. W HAT IS LBA ??
LBA is Location Based Advertisements.
A mobile user can ask our proposed application about
his current location, popular places around his location,
shortest route to navigate a particular opted location
and to gain information of that opted location.
Lets see it from commercial point of view.
“It has potential for the marketers to send information
and offers to consumers based on their proximity to
places where the marketers' products are available.
6. W HAT IS EXACTLY NEW IN THIS ??
Location-based advertising (LBA) is not
new but being able to access it
through one's mobile
communication device is.
8. E XCESS OF M OBILE USE
Though iPhone
has significantly
more number of
Services available
and also the
usage.
9. W HAT DO C USTOMERS T HINK ??
If consumers have generally positive
attitudes toward such advertising, then this
could be the very technology that allows m-
commerce to kick into high gear.
If consumers are generally negative about it
then advertisers will have to sell the medium
first before they can successfully use it to sell
other things.
10. T HERE IS A D IFFERENCE !!
While this presentation has reached here, many of
you may have this confusion…..
What is the difference between Mobile Ads &
Location Based Ads ??
All mobile advertising is not LBA, it depends on
whether or not the ad is determined by the
recipient's (or more technically, the device's)
location.
Mobile advertising is the broader of the two
concepts.
11. C ONCEPT OF P USH & P ULL
The LBA push approach amounts to the
advertiser working with the carriers and delivery
networks to send (push) ads to the
user, determined by the device's location.
The other approach to LBA is called (pull) and it
occurs when consumers request some
information or use some service on a one-time
basis and in the process are exposed to
commercial messages.
13. P USH & P ULL
“Opt-out” suggests that advertisers would send ads to
whomever they wanted to until users asked that they
not be sent ads anymore.
In contrast, the “opt-in” approach involves users
authorizing that messages be sent to them, a type of
permission marketing.
E.g. A salesman visiting San Francisco could use his device to access a
portal where one of the choices is Local Restaurants. After selecting
that, the next alternative he may choose to pick is Chinese. Five restaurants
are shown, all indicated to be within a half-mile of his location. He selects
one of them and a map is provided as well as an offer of a free
appetizer, good for the next hour. Because the user chooses the time and
place to access the information in the pull approach, it is by definition opt-
in.
14. P ROJECT S COPE
This application will be User-Friendly for its
audience (static) and the On-The-Go Audience
(Dynamic). It will provide services such as:
There will be 2 different classes of users. They are:
Android users.
Non-Android users.
Android users: Their location will be automatically
tracked using GPS.
Non-Android users: They need to manually put
their location to access the application.
15. S OFTWARE I NTERFACE
Our system will be using Google map to help user
navigate to his destination place.
GPS will detect location of the user or the popular
place around the user location.
MySQL will be used as backend to store the
databases.
Our proposed application will be using two
protocols. HTTPS will make the web service more
secure. FTP will be used in case of opening any
images.
16. D ATA F LOW D IAGRAMS
Input : Location Info
User User Info-Tracker
Info-Grabber
Output : Result
17. D ATA F LOW D IAGRAMS
Input: Location Info
User User Info-Grabber
Output: Result
connect
Result
Server accessing
data from DB
Result Query
Database
20. A DVANTAGES
“Info-Grabber” offers a generally faster speed of
interaction. There is no long entry form that users must
fill out right off the bat, and the type of language used
is often less formal, allowing an interaction with fewer
characters, which speeds things up.
The accessing of this proposed application via Web
service will be free of cost.
This proposed application can be used by anyone
though he has less computer knowledge; hence it is
easy to use.
It makes the user known to his surroundings.
21.
22. L IMITATIONS
Consumer's privacy (is still a concern).
LBA as spam if done inappropriately.
The interaction must be straight-forward and
simple.
23. A PPLICATION
LBA allows marketers to reach a specific target
audience.
Since LBA gives consumers control on
what, when, where, and how customers receive
ads, it provides customers more relevant
information, personalized message, and targeted
offer.
LBA is a means of researching consumers.
24. C ONCLUSION
Existing system based on location based
advertisement help a user to get advertisement
according to his geographical location.
Our proposed application is a step ahead of the
existing system as it will also provide information
card of a particular place. E.g. Menu card of a
restaurant.
Can be extended proposed application into various
applications such as online booking of tickets
(railway station, movie) or appointments
(hospital), online ordering (restaurants), etc.
25. R EFERENCES
T. De Pessemier, T. Deryckere, K. Vanhecke, L.
Martens, “Proposed architecture and algorithm for
personalized advertising on iDTV and mobile devices”, “IEEE
Transactions on Consumer Electronics” 54 (2) (May 2008) 709-
713.
A. Katz-Stone, “Wireless revenue: advertisements can work”
Australia. internet.com,2001.
O. Kwon, J. Kim. “Concept lattices for visualizing and generating
user profiles for context-aware service
recommendations”, “Expert Systems with Applications” 36
(2009)
A.K. Tripathi, S.K. Nair, “Narrowcasting of wireless advertising in
malls”, “European Journal of Operational Research” 182 (3)
(November 2007)