TY - GEN
T1 - A contextual-bandit algorithm for mobile context-aware recommender system
AU - Bouneffouf, Djallel
AU - Bouzeghoub, Amel
AU - Gançarski, Alda Lopes
PY - 2012/11/19
Y1 - 2012/11/19
N2 - Most existing approaches in Mobile Context-Aware Recommender Systems focus on recommending relevant items to users taking into account contextual information, such as time, location, or social aspects. However, none of them has considered the problem of user's content evolution. We introduce in this paper an algorithm that tackles this dynamicity. It is based on dynamic exploration/exploitation and can adaptively balance the two aspects by deciding which user's situation is most relevant for exploration or exploitation. Within a deliberately designed offline simulation framework we conduct evaluations with real online event log data. The experimental results demonstrate that our algorithm outperforms surveyed algorithms.
AB - Most existing approaches in Mobile Context-Aware Recommender Systems focus on recommending relevant items to users taking into account contextual information, such as time, location, or social aspects. However, none of them has considered the problem of user's content evolution. We introduce in this paper an algorithm that tackles this dynamicity. It is based on dynamic exploration/exploitation and can adaptively balance the two aspects by deciding which user's situation is most relevant for exploration or exploitation. Within a deliberately designed offline simulation framework we conduct evaluations with real online event log data. The experimental results demonstrate that our algorithm outperforms surveyed algorithms.
KW - Artificial intelligence
KW - Exploration/exploitation dilemma
KW - Machine learning
KW - Recommender system
UR - https://www.scopus.com/pages/publications/84869007958
U2 - 10.1007/978-3-642-34487-9_40
DO - 10.1007/978-3-642-34487-9_40
M3 - Conference contribution
AN - SCOPUS:84869007958
SN - 9783642344862
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 324
EP - 331
BT - Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
T2 - 19th International Conference on Neural Information Processing, ICONIP 2012
Y2 - 12 November 2012 through 15 November 2012
ER -