New Approaches to Mood-based Hybrid Collaborative Filtering

被引:25
作者
Wang, Licai [1 ]
Meng, Xiangwu [1 ]
Zhang, Yujie [1 ]
Shi, Yancui [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telicommun Software M, Beijing 100876, Peoples R China
来源
PROCEEDINGS OF THE RECSYS'2010 ACM CHALLENGE ON CONTEXT-AWARE MOVIE RECOMMENDATION (CAMRA2010) | 2010年
基金
中国国家自然科学基金;
关键词
Recommender systems; context; mood; CF; RECOMMENDER SYSTEMS;
D O I
10.1145/1869652.1869657
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, mood has proved to be an important contextual feature in context-aware recommender systems (CARS) by some studies. In this paper we propose two new approaches to mood-based hybrid collaborative filtering (CF) in order to further improve the performance accuracy and user satisfaction by utilizing emotional context in CARS. We first describe the traditional user-based CF as the baseline approach, and then propose a new mood-based user-based CF which detects user preferences to each emotion. On this basis, we propose two hybrid CF approaches using multiple step nearest neighbors search and predicted ratings fusion strategies respectively. We perform experimental comparisons of the above approaches on the Moviepilot dataset released for the Challenge on Context-Aware Movie Recommendation (CAMRa2010). The results suggest that both hybrid approaches provide improvements in performance.
引用
收藏
页码:28 / 33
页数:6
相关论文
共 14 条
[11]   Affective learning - a manifesto [J].
Picard, RW ;
Papert, S ;
Bender, W ;
Blumberg, B ;
Breazeal, C ;
Cavallo, D ;
Machover, T ;
Resnick, M ;
Roy, D ;
Strohecker, C .
BT TECHNOLOGY JOURNAL, 2004, 22 (04) :253-269
[12]  
Said A., 2010, P 4 ACM C REC SYST R
[13]   The role of user mood in movie recommendations [J].
Winoto, Pinata ;
Tang, Tiffany Y. .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (08) :6086-6092
[14]  
Zhang Yujie, 2010, 2010 5th International Conference on Computer Science & Education (ICCSE 2010), P362, DOI 10.1109/ICCSE.2010.5593612