Following the user's interests in mobile context-aware recommender systems : the hybrid-epsilon-greedy algorithm - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès HWISE '12 : The Eighth International Workshop on Heterogeneous Wireless Networks Année : 2012

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

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? To the 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-epsilon-greedy algorithm we propose, which combines the standard epsilon-greedy algorithm and both content-based filtering and case-based reasoning techniques.
Fichier non déposé

Dates et versions

hal-00744587 , version 1 (23-10-2012)

Identifiants

Citer

Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gancarski. Following the user's interests in mobile context-aware recommender systems : the hybrid-epsilon-greedy algorithm. HWISE '12 : The Eighth International Workshop on Heterogeneous Wireless Networks, Mar 2012, Fukuoka, Japan. pp.657-662, ⟨10.1109/WAINA.2012.200⟩. ⟨hal-00744587⟩
34 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More