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Following the user's interests in mobile context-aware recommender systems: The hybrid-e-greedy algorithm

  • CNRS UMR 5157 SAMOVAR

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

The wide development of mobile applications provides a considerable amount of data of all types (images, texts, sounds, videos, etc.). In this sense, Mobile Context-aware Recommender Systems (MCRS) suggest the user suitable information depending on her/his situation and interests. Two key questions have to be considered 1) how to recommend the user information that follows his/her interests evolution? 2)how to model the user's situation and its related interests? Tithe best of our knowledge, no existing work proposing a MCRS tries to answer both questions as we do. This paper describes an ongoing work on the implementation of a MCRS based on the hybrid - greedy algorithm we propose, which combines the standard -greedy algorithm and both content-based filtering and case-based reasoning techniques.

langue originaleAnglais
titreProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Pages657-662
Nombre de pages6
Les DOIs
étatPublié - 14 mai 2012
Evénement26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 - Fukuoka, Japon
Durée: 26 mars 201229 mars 2012

Série de publications

NomProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012

Une conférence

Une conférence26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Pays/TerritoireJapon
La villeFukuoka
période26/03/1229/03/12

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