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- Title
Dynamic Group Recommendation with Modified Collaborative Filtering and Temporal Factor.
- Authors
Jinpeng Chen; Yu Liu; Deyi Li
- Abstract
Group recommendation, which provides a group of users with information items, has become increasingly important in both the workspace and people's social activities. Because users change their preferences or interests over time, the dynamics and diversity of group members is a challenging problem for group recommendation. In this article, we introduce a novel group recommendation method via fusing the modified collaborative filtering methodology with the temporal factor in order to, solve the dynamics problem. Meanwhile, we also put forward a new method of eliminating sparse problem so as to improve the accuracy of recommendation. We have tested our method in the music recommendation domain. Experimental results indicate the proposed group recommender method provides better performance than an original method and gRecs. The result of efficiency and scalability test also shows our method is usable.
- Subjects
RECOMMENDER systems; INFORMATION filtering systems; COMPUTER users; PERFORMANCE evaluation; INFORMATION theory; COLLECTIVE action
- Publication
International Arab Journal of Information Technology (IAJIT), 2016, Vol 13, Issue 2, p294
- ISSN
1683-3198
- Publication type
Article