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NEMO - NExt generation recommender systems for home Multimedia cOntent
Responsable du projet Kilian Stoffel
   
Collaborateur Hugo Marcelo Muriel Arriaran
Paul Cotofrei
   
Résumé The objective of this project is the development of a next generation recommender systems for home multimedia content. The overall goal is to design an integrated model (denoted NEMO), conceived like an experts system, capable to combine and to exploit different types of information (sources) and different types of (specialized) recommender systems. Project NEMO should deliver a working prototype that incorporates multiple different content type recommendation streams, incorporates the customer's individual usage behaviour, and integrates enhancements to the recommendations based on the customer's social network relationships. The most important functionalities of the projected system are: integration of temporal/spatial information as agenda/calendar information (scheduled activities/events, holidays) or user present location (main home, holiday home), integration of social information, extracted by analyzing the social networks of which the user is a member, capability of learning a user profile using the user feedback recorded through the Logitech Revue Box, integration and aggregation of multiple, multi-items recommendation lists from known authority web-based recommender systems.
   
Mots-clés recommender systems, social networks
   
Page internet http://www2.unine.ch/imi/page-18350_fr.html
   
Type de projet Recherche appliquée
Domaine de recherche Information and communication technologies
Source de financement CTI
Etat Terminé
Début de projet 1-4-2011
Fin du projet 31-3-2013
Budget alloué 184613
Contact Kilian Stoffel