SlideShare a Scribd company logo

Injecting semantic links into a graph-based recommender system

•
•
R
recsysfr

Simon Lefebvre - Antvoice Talk given during the 6th RecSysFR meetup on June 27th 2017.

Science
1 of 11
Download to read offline
Injecting Semantic links into a graph-based recommender system Février 2017
At the beginning there were Facebook Apps Will they match ? Will he buy ? The Mood Weather Report Buy icons to be displayed on your Facebook timeline BeMyGentleman Dating WebSite
The multi-object graph-based recommender T T Diet Beauty T Mortgage T Health TSport T White color Tag Content Product User Clicked Watched Viewed Read Bought Added to basket Collect data and keep it in its original graph structure - Any type of object can be used & recommended (tag, user, product, content … ) - Edges are build from tracked actions : buyings, readings, tagging…) Compute click predictions from the paths linking users to objects we could recommend
General workflow Graph processor : - Aggregates edges - Trims irrelevant ones Reduced Graph Complete Graph Learning Base Recommender - Suggests objects - Collects successes & failures ParametersMachine learning - Set rules for graph processing - Optimize real-time decisions
Use cases Sélectionné pour vous Sélectionné pour vous Recommendation : venues on TickeTac Edges : tracking on website only Recommendation : advertisment for Delamaison furnitures on Prisma Group Eges : readings on Femme Actuelle & tracking on website Recommendation : One site, advertisment Edges : tracking on website, content views
Using media content to find targets Read Bought Read Read Watched Watched LEA, ID 456 Lose weight before summer FemmeActuelle content Rome : the Eternal City Geo content Real Estate : interest rate Capital content TéléLoisir, Top Chef, cuisine, M6, télé réalité Would Lea be interested by l’Oréal ? - Problem : the campaign has never been launched : no natural « L’Oréal » node connected to the general graph First idea : use editorial tags - Low quality - Not exhaustive - Not standardized among publications Second idea : tag content with a semantic algorithm
Automatic tagging of media content 𝐴~𝑇𝑘 𝑆 𝑘 𝐷 𝑘 𝑇 The corpus is composed of media contents The thesaurus contains 40 000 expressions a marketing operator would be willing to search. 1) Corpus Processing : lematization, entropy computation 2) Truncated Singular value decomposition of the Document / Term matrix Document / Term matrix Term / Semantic space matrix Singular Values (we keep the 250 highest values) Document / Semantic space matrix 3) Projection of the thesaurus onto the semantic space 𝑑 𝑘~𝑎 𝑇 𝑇𝑘 𝑆 𝑘 −1 3) Tag attribution by cosinus computation
Connecting user to campaign User – Content : collected on the web Shortest path from user to campaign Content – Topic : semantic algorithm Topic – Product : chosen by the operator Can be very subjective ! Mosturizer ? Skin health ? Cosmetic ? Dry skin ?
Behavioral & Semantic extension Pure semantic extension : a lot of articles are tagged with both topics Semantic link User action Behavioral extension : a lot of users are interrested in both topics Mosturizer Hydration Mosturizer Food Supplements
And more cool projects … Recommendation Target Generator Digital Advertising Blouse col ruché Dernière tendance, la blouse se révèle pratique et chic [...) 25,90€ 18,20€ - 3O % Sélectionné pour vous sur Un produit identifié pour vous sur Mini Pipistrello Lampe noire Touch Led H35 cm [...) 729,00 € 495,00 0€ - 32 % VIDEOS – Jade et Arnaud Lagar- dère : avant « Envoyé Spécial », ils s'étaient illustrés dans des séquences inoubliables ARTICLES – Lola Dewaere, la fille de Patrick Dewaere, refuse de participer à DALS avec beaucoup d’humour et de [...] - Find users reading about topics linked to your product. - Choose topics among 40k possibilities. - Real-time personalized advertising - Target new high-potential users on a display network - Improve the user experience on your website. - Increase your conversion rate.
Join us ! We have money … 2,8 M€ raised More and more clients … We need talents ! To grow To lauch new products To internationalize simon@antvoice.com

Recommended

Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...
Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...
Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...recsysfr
 
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...recsysfr
 
Pulpix - Video Recommendation at Scale
Pulpix - Video Recommendation at ScalePulpix - Video Recommendation at Scale
Pulpix - Video Recommendation at Scalerecsysfr
 
IBM Developer Model Asset eXchange - Deep Learning for Everyone
IBM Developer Model Asset eXchange - Deep Learning for EveryoneIBM Developer Model Asset eXchange - Deep Learning for Everyone
IBM Developer Model Asset eXchange - Deep Learning for EveryoneNick Pentreath
 
Sequential Learning in the Position-Based Model
Sequential Learning in the Position-Based ModelSequential Learning in the Position-Based Model
Sequential Learning in the Position-Based Modelrecsysfr
 
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinyclues
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - TinycluesPredictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinyclues
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinycluesrecsysfr
 
Recommendation @ Meetic
Recommendation @ MeeticRecommendation @ Meetic
Recommendation @ Meeticrecsysfr
 
Meta-Prod2Vec: Simple Product Embeddings with Side-Information
Meta-Prod2Vec: Simple Product Embeddings with Side-InformationMeta-Prod2Vec: Simple Product Embeddings with Side-Information
Meta-Prod2Vec: Simple Product Embeddings with Side-Informationrecsysfr
 

Recommended

Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...
Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...
Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...recsysfr
 
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...
CONTENT2VEC: a Joint Architecture to use Product Image and Text for the task ...recsysfr
 
Pulpix - Video Recommendation at Scale
Pulpix - Video Recommendation at ScalePulpix - Video Recommendation at Scale
Pulpix - Video Recommendation at Scalerecsysfr
 
IBM Developer Model Asset eXchange - Deep Learning for Everyone
IBM Developer Model Asset eXchange - Deep Learning for EveryoneIBM Developer Model Asset eXchange - Deep Learning for Everyone
IBM Developer Model Asset eXchange - Deep Learning for EveryoneNick Pentreath
 
Sequential Learning in the Position-Based Model
Sequential Learning in the Position-Based ModelSequential Learning in the Position-Based Model
Sequential Learning in the Position-Based Modelrecsysfr
 
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinyclues
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - TinycluesPredictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinyclues
Predictive quality metrics @ tinyclues - Artem Kozhevnikov - Tinycluesrecsysfr
 
Recommendation @ Meetic
Recommendation @ MeeticRecommendation @ Meetic
Recommendation @ Meeticrecsysfr
 
Meta-Prod2Vec: Simple Product Embeddings with Side-Information
Meta-Prod2Vec: Simple Product Embeddings with Side-InformationMeta-Prod2Vec: Simple Product Embeddings with Side-Information
Meta-Prod2Vec: Simple Product Embeddings with Side-Informationrecsysfr
 
BAQMaR - Conference DM
BAQMaR - Conference DMBAQMaR - Conference DM
BAQMaR - Conference DMBAQMaR
 
El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...ACTUONDA
 
The Robot Marketeer
The Robot MarketeerThe Robot Marketeer
The Robot MarketeerBart De Waele
 
Analytics in Online Retail
Analytics in Online RetailAnalytics in Online Retail
Analytics in Online RetailAlgoAnalytics Financial Consultancy Pvt. Ltd.
 
Association Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big DataAssociation Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big DataIRJET Journal
 
Einführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web DayEinführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web DayAWS Germany
 
PPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxPPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxDevChaudhari15
 
B1802021823
B1802021823B1802021823
B1802021823IOSR Journals
 
Lecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overviewLecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overviewJohnMillsonline
 
Google analytics and google data studio
Google analytics and google data studioGoogle analytics and google data studio
Google analytics and google data studioBrian Pichman
 
Recommendation engines : Matching items to users
Recommendation engines : Matching items to usersRecommendation engines : Matching items to users
Recommendation engines : Matching items to usersjobinwilson
 
Recommendation engines matching items to users
Recommendation engines matching items to usersRecommendation engines matching items to users
Recommendation engines matching items to usersFlytxt
 
Machine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer universityMachine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer universityLászló Kovács
 
The subtle art of recommendation
The subtle art of recommendationThe subtle art of recommendation
The subtle art of recommendationSimon Belak
 
Free Tech Tools - VOA 2012
Free Tech Tools - VOA 2012Free Tech Tools - VOA 2012
Free Tech Tools - VOA 2012Advertising Specialties Alliance
 
Connecting social media to e commerce (2)
Connecting social media to e commerce (2)Connecting social media to e commerce (2)
Connecting social media to e commerce (2)krsenthamizhselvi
 
SXSW After Party
SXSW After PartySXSW After Party
SXSW After PartyNathan O'Hanlon
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”voginip
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”VOGIN-academie
 
Finup : Content discovery platform
Finup : Content discovery platformFinup : Content discovery platform
Finup : Content discovery platformZaid Abbasi
 
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty FiveMulti Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Fiverecsysfr
 
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...recsysfr
 

More Related Content

Similar to Injecting semantic links into a graph-based recommender system

BAQMaR - Conference DM
BAQMaR - Conference DMBAQMaR - Conference DM
BAQMaR - Conference DMBAQMaR
 
El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...ACTUONDA
 
Association Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big DataAssociation Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big DataIRJET Journal
 
Einführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web DayEinführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web DayAWS Germany
 
PPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxPPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxDevChaudhari15
 
Lecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overviewLecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overviewJohnMillsonline
 
Google analytics and google data studio
Google analytics and google data studioGoogle analytics and google data studio
Google analytics and google data studioBrian Pichman
 
Recommendation engines : Matching items to users
Recommendation engines : Matching items to usersRecommendation engines : Matching items to users
Recommendation engines : Matching items to usersjobinwilson
 
Recommendation engines matching items to users
Recommendation engines matching items to usersRecommendation engines matching items to users
Recommendation engines matching items to usersFlytxt
 
Machine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer universityMachine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer universityLászló Kovács
 
The subtle art of recommendation
The subtle art of recommendationThe subtle art of recommendation
The subtle art of recommendationSimon Belak
 
Connecting social media to e commerce (2)
Connecting social media to e commerce (2)Connecting social media to e commerce (2)
Connecting social media to e commerce (2)krsenthamizhselvi
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”voginip
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”VOGIN-academie
 
Finup : Content discovery platform
Finup : Content discovery platformFinup : Content discovery platform
Finup : Content discovery platformZaid Abbasi
 

Similar to Injecting semantic links into a graph-based recommender system (20)

BAQMaR - Conference DM
BAQMaR - Conference DMBAQMaR - Conference DM
BAQMaR - Conference DM
 
El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...El impacto del big data en la estrategia de los medios de comunicacion by Osc...
El impacto del big data en la estrategia de los medios de comunicacion by Osc...
 
The Robot Marketeer
The Robot MarketeerThe Robot Marketeer
The Robot Marketeer
 
Analytics in Online Retail
Analytics in Online RetailAnalytics in Online Retail
Analytics in Online Retail
 
Association Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big DataAssociation Rule based Recommendation System using Big Data
Association Rule based Recommendation System using Big Data
 
Einführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web DayEinführung in Amazon Machine Learning - AWS Machine Learning Web Day
Einführung in Amazon Machine Learning - AWS Machine Learning Web Day
 
PPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxPPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptx
 
B1802021823
B1802021823B1802021823
B1802021823
 
Lecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overviewLecture 8 data continued, Content marketing, SEO and SMO overview
Lecture 8 data continued, Content marketing, SEO and SMO overview
 
Google analytics and google data studio
Google analytics and google data studioGoogle analytics and google data studio
Google analytics and google data studio
 
Recommendation engines : Matching items to users
Recommendation engines : Matching items to usersRecommendation engines : Matching items to users
Recommendation engines : Matching items to users
 
Recommendation engines matching items to users
Recommendation engines matching items to usersRecommendation engines matching items to users
Recommendation engines matching items to users
 
Machine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer universityMachine learning at b.e.s.t. summer university
Machine learning at b.e.s.t. summer university
 
The subtle art of recommendation
The subtle art of recommendationThe subtle art of recommendation
The subtle art of recommendation
 
Free Tech Tools - VOA 2012
Free Tech Tools - VOA 2012Free Tech Tools - VOA 2012
Free Tech Tools - VOA 2012
 
Connecting social media to e commerce (2)
Connecting social media to e commerce (2)Connecting social media to e commerce (2)
Connecting social media to e commerce (2)
 
SXSW After Party
SXSW After PartySXSW After Party
SXSW After Party
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
 
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”
 
Finup : Content discovery platform
Finup : Content discovery platformFinup : Content discovery platform
Finup : Content discovery platform
 

More from recsysfr

Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty FiveMulti Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Fiverecsysfr
 
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...recsysfr
 
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...recsysfr
 
What can bring library metadata to the web? Trust, links and love
What can bring library metadata to the web? Trust, links and loveWhat can bring library metadata to the web? Trust, links and love
What can bring library metadata to the web? Trust, links and loverecsysfr
 
RecsysFR: Criteo presentation
RecsysFR: Criteo presentationRecsysFR: Criteo presentation
RecsysFR: Criteo presentationrecsysfr
 
Dictionary Learning for Massive Matrix Factorization
Dictionary Learning for Massive Matrix FactorizationDictionary Learning for Massive Matrix Factorization
Dictionary Learning for Massive Matrix Factorizationrecsysfr
 
Recommendations @ Rakuten Group
Recommendations @ Rakuten GroupRecommendations @ Rakuten Group
Recommendations @ Rakuten Grouprecsysfr
 
Data-Driven Recommender Systems
Data-Driven Recommender SystemsData-Driven Recommender Systems
Data-Driven Recommender Systemsrecsysfr
 
Recommender systems
Recommender systemsRecommender systems
Recommender systemsrecsysfr
 
Recommendation @Deezer
Recommendation @DeezerRecommendation @Deezer
Recommendation @Deezerrecsysfr
 
Flexible recommender systems based on graphs
Flexible recommender systems based on graphsFlexible recommender systems based on graphs
Flexible recommender systems based on graphsrecsysfr
 
Using Neural Networks to predict user ratings
Using Neural Networks to predict user ratingsUsing Neural Networks to predict user ratings
Using Neural Networks to predict user ratingsrecsysfr
 
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?recsysfr
 
Recommendation @ PriceMinister-Rakuten - Road to personalization
Recommendation @ PriceMinister-Rakuten - Road to personalizationRecommendation @ PriceMinister-Rakuten - Road to personalization
Recommendation @ PriceMinister-Rakuten - Road to personalizationrecsysfr
 
Rakuten Institute of Technology Paris
Rakuten Institute of Technology ParisRakuten Institute of Technology Paris
Rakuten Institute of Technology Parisrecsysfr
 
Tailor-made personalization and recommendation - Sailendra
Tailor-made personalization and recommendation - SailendraTailor-made personalization and recommendation - Sailendra
Tailor-made personalization and recommendation - Sailendrarecsysfr
 
New tools from the bandit literature to improve A/B Testing
New tools from the bandit literature to improve A/B TestingNew tools from the bandit literature to improve A/B Testing
New tools from the bandit literature to improve A/B Testingrecsysfr
 
Story of the algorithms behind Deezer Flow
Story of the algorithms behind Deezer FlowStory of the algorithms behind Deezer Flow
Story of the algorithms behind Deezer Flowrecsysfr
 

More from recsysfr (18)

Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty FiveMulti Task DPP for Basket Completion by Romain WARLOP, Fifty Five
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Five
 
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...
 
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...
An Homophily-based Approach for Fast Post Recommendation in Microblogging Sys...
 
What can bring library metadata to the web? Trust, links and love
What can bring library metadata to the web? Trust, links and loveWhat can bring library metadata to the web? Trust, links and love
What can bring library metadata to the web? Trust, links and love
 
RecsysFR: Criteo presentation
RecsysFR: Criteo presentationRecsysFR: Criteo presentation
RecsysFR: Criteo presentation
 
Dictionary Learning for Massive Matrix Factorization
Dictionary Learning for Massive Matrix FactorizationDictionary Learning for Massive Matrix Factorization
Dictionary Learning for Massive Matrix Factorization
 
Recommendations @ Rakuten Group
Recommendations @ Rakuten GroupRecommendations @ Rakuten Group
Recommendations @ Rakuten Group
 
Data-Driven Recommender Systems
Data-Driven Recommender SystemsData-Driven Recommender Systems
Data-Driven Recommender Systems
 
Recommender systems
Recommender systemsRecommender systems
Recommender systems
 
Recommendation @Deezer
Recommendation @DeezerRecommendation @Deezer
Recommendation @Deezer
 
Flexible recommender systems based on graphs
Flexible recommender systems based on graphsFlexible recommender systems based on graphs
Flexible recommender systems based on graphs
 
Using Neural Networks to predict user ratings
Using Neural Networks to predict user ratingsUsing Neural Networks to predict user ratings
Using Neural Networks to predict user ratings
 
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?
Preference Elicitation in Mangaki: Is Your Taste Kinda Weird?
 
Recommendation @ PriceMinister-Rakuten - Road to personalization
Recommendation @ PriceMinister-Rakuten - Road to personalizationRecommendation @ PriceMinister-Rakuten - Road to personalization
Recommendation @ PriceMinister-Rakuten - Road to personalization
 
Rakuten Institute of Technology Paris
Rakuten Institute of Technology ParisRakuten Institute of Technology Paris
Rakuten Institute of Technology Paris
 
Tailor-made personalization and recommendation - Sailendra
Tailor-made personalization and recommendation - SailendraTailor-made personalization and recommendation - Sailendra
Tailor-made personalization and recommendation - Sailendra
 
New tools from the bandit literature to improve A/B Testing
New tools from the bandit literature to improve A/B TestingNew tools from the bandit literature to improve A/B Testing
New tools from the bandit literature to improve A/B Testing
 
Story of the algorithms behind Deezer Flow
Story of the algorithms behind Deezer FlowStory of the algorithms behind Deezer Flow
Story of the algorithms behind Deezer Flow
 

Recently uploaded

Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptxRole of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptxArvind Kumar
 
Dr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsDr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsmuralinath2
 
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIACURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIADr. TATHAGAT KHOBRAGADE
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxDiariAli
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsOrtegaSyrineMay
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry Areesha Ahmad
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....muralinath2
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxseri bangash
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxSilpa
 
Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Silpa
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusNazaninKarimi6
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Serviceshivanisharma5244
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsSérgio Sacani
 
LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.Silpa
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.Silpa
 
biology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGYbiology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGY1301aanya
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxRenuJangid3
 
Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Silpa
 

Recently uploaded (20)

Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptxRole of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptx
 
Site Acceptance Test .
Site Acceptance Test .Site Acceptance Test .
Site Acceptance Test .
 
Dr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspectsDr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical aspects
 
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIACURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its Functions
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.Selaginella: features, morphology ,anatomy and reproduction.
Selaginella: features, morphology ,anatomy and reproduction.
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virus
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
 
biology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGYbiology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGY
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx .Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx .
 
Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.
 

Injecting semantic links into a graph-based recommender system

  • 1. Injecting Semantic links into a graph-based recommender system Février 2017
  • 2. At the beginning there were Facebook Apps Will they match ? Will he buy ? The Mood Weather Report Buy icons to be displayed on your Facebook timeline BeMyGentleman Dating WebSite
  • 3. The multi-object graph-based recommender T T Diet Beauty T Mortgage T Health TSport T White color Tag Content Product User Clicked Watched Viewed Read Bought Added to basket Collect data and keep it in its original graph structure - Any type of object can be used & recommended (tag, user, product, content … ) - Edges are build from tracked actions : buyings, readings, tagging…) Compute click predictions from the paths linking users to objects we could recommend
  • 4. General workflow Graph processor : - Aggregates edges - Trims irrelevant ones Reduced Graph Complete Graph Learning Base Recommender - Suggests objects - Collects successes & failures ParametersMachine learning - Set rules for graph processing - Optimize real-time decisions
  • 5. Use cases Sélectionné pour vous Sélectionné pour vous Recommendation : venues on TickeTac Edges : tracking on website only Recommendation : advertisment for Delamaison furnitures on Prisma Group Eges : readings on Femme Actuelle & tracking on website Recommendation : One site, advertisment Edges : tracking on website, content views
  • 6. Using media content to find targets Read Bought Read Read Watched Watched LEA, ID 456 Lose weight before summer FemmeActuelle content Rome : the Eternal City Geo content Real Estate : interest rate Capital content TéléLoisir, Top Chef, cuisine, M6, télé réalité Would Lea be interested by l’Oréal ? - Problem : the campaign has never been launched : no natural « L’Oréal » node connected to the general graph First idea : use editorial tags - Low quality - Not exhaustive - Not standardized among publications Second idea : tag content with a semantic algorithm
  • 7. Automatic tagging of media content 𝐴~𝑇𝑘 𝑆 𝑘 𝐷 𝑘 𝑇 The corpus is composed of media contents The thesaurus contains 40 000 expressions a marketing operator would be willing to search. 1) Corpus Processing : lematization, entropy computation 2) Truncated Singular value decomposition of the Document / Term matrix Document / Term matrix Term / Semantic space matrix Singular Values (we keep the 250 highest values) Document / Semantic space matrix 3) Projection of the thesaurus onto the semantic space 𝑑 𝑘~𝑎 𝑇 𝑇𝑘 𝑆 𝑘 −1 3) Tag attribution by cosinus computation
  • 8. Connecting user to campaign User – Content : collected on the web Shortest path from user to campaign Content – Topic : semantic algorithm Topic – Product : chosen by the operator Can be very subjective ! Mosturizer ? Skin health ? Cosmetic ? Dry skin ?
  • 9. Behavioral & Semantic extension Pure semantic extension : a lot of articles are tagged with both topics Semantic link User action Behavioral extension : a lot of users are interrested in both topics Mosturizer Hydration Mosturizer Food Supplements
  • 10. And more cool projects … Recommendation Target Generator Digital Advertising Blouse col ruché Dernière tendance, la blouse se révèle pratique et chic [...) 25,90€ 18,20€ - 3O % Sélectionné pour vous sur Un produit identifié pour vous sur Mini Pipistrello Lampe noire Touch Led H35 cm [...) 729,00 € 495,00 0€ - 32 % VIDEOS – Jade et Arnaud Lagar- dère : avant « Envoyé Spécial », ils s'étaient illustrés dans des séquences inoubliables ARTICLES – Lola Dewaere, la fille de Patrick Dewaere, refuse de participer à DALS avec beaucoup d’humour et de [...] - Find users reading about topics linked to your product. - Choose topics among 40k possibilities. - Real-time personalized advertising - Target new high-potential users on a display network - Improve the user experience on your website. - Increase your conversion rate.
  • 11. Join us ! We have money … 2,8 M€ raised More and more clients … We need talents ! To grow To lauch new products To internationalize simon@antvoice.com