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