Personalize your site by identifying your user s ' alter-egos.
description
Transcript of Personalize your site by identifying your user s ' alter-egos.
Personalize your site by identifying your users' alter-egos.
What do we do?
Provide widget-based recommendation
• User centric• Scalable• Easy to interface
Outcome of an ERC Starting Grant Project (2008-2013)
How do we do that?
For each user• Maintain a profile (visited pages or items bought
or clicked)• Identify alter-egos on the site (or across sites)• Leverage the alter-egos profiles to filter and
recommend content
Mediego architecture
Client Web site
widget
Mediego serversProfile table
I1 I2 …Im
KNN table
…Display Recommendation for
Mediego computations
Client Web site
widget
Mediego serversProfile table
I1 I2 …Im
KNN table
…Display Recommendation for
Products
Recommendation widgets for Web sites
• Media content providers• E-commerce
Other products• News recommender (Dashboard AllYours)• P2P news recommender
Targets
Recommendation widgets for Web sites• Media editors: recommendations without need
for subscriptions (automatic filtering)
• E-commerce• Recommendation of products within a site
(example: chronodrive, La redoute)• Recommendatio leveraging activities on other
sites
CSATT février 2013 - AllYours
Recommendation widget
Targets
Recommendation widgets for Web sites• Media editors: recommendations without need
for subscriptions (automatic filtering)
• E-commerce• Recommendation of products within a site
(example: chronodrive, La redoute)• Recommendatio leveraging activities on other
sites
Where are we?
Software• operational and simple gateway• Centralized Mediego• Centralized AllYours/P2P Allyours
Patents• One filled, 4 in the process
Fundings• ERC PoC (2013), EIT ICT (2013, probably 2014)
Next big step: Beta tests
Media content editors• Wamiz• Femina.ch • Jeux.video.fr• Contact le Monde
E-commerce• Carrefour• Channel• Cdiscount
Live Beta tests
TrentoRise- P2P- Dashboard
Students
Competitors
Outbrain: Present on many media sites
Taboola
Criteo:
Amazon/predigo
Target to sell
The team
PI: Anne-Marie Kermarrec
Chef de projet: Sébastien Campion (20%)
Engineers- Antoine Boutet - Jacques Falcou - Heverson Ribeiro
(P2P)- Jean-Francois
Verdonck
Others- Davide Frey, Researcher
INRIA- Rachid Guerraoui, Prof.
EPFL- Arnaud Jégou, PhD student
INRIA
Marc Thouvenin (neovira)
Laurent Kott (IT Translation)
Patric Gélin/Marie-Christine Lancien (INRIA)
Business models
Media- Increase their number of viewed pages (adds)- Increase their number of subscribers
E-commerce- Increase the number of products discovered/bought
Business models
Media- Increase their number of viewed pages (adds)- Increase their number of subscribers
E-commerce- Increase the number of products discovered/bought
On the technical side
Architecture
User input
KNN (AlterEgos)
Recommendation/disseminationUser input
CSATT février 2013 - AllYours
News recommender
CSATT février 2013 - AllYours
WhatsUp: a centralized news recommender
Top-K neighborhood
Recommendation/dissemination
User widget Open API
Architecture centralized- Centralized d ata base of users profile and iitems- Centralized Top-k algorithm to build the social network (based on sampling) and
centralized recommendation engineChallenges- Operational prototype- Gather users activity automatically
Metrics of success- Gathering of a community of (satisfied) users
CSATT février 2013 - AllYours
A centralized tool for our beta testers
Top-K neighborhood
Recommendation/dissemination
User widget Open API
Architecture centralized- Centralized data base of users profile and iitems- Centralized Top-k algorithm to build the social network (based on sampling) and
centralized recommendation engineChallenges- Operational prototype- Gather users activity from various Web sites
Metrics of successFeedback from our beta testers
CSATT février 2013 - AllYours
Exemple on Jeux videos.com