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Modeling the Heterogeneous Duration of User Interest in Time-dependent Recommendation: A Hidden Semi-Markov Approach
Zhang, Haidong; Ni, Wancheng; Li, Xin; Yang, Yiping
Source PublicationIEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS
2016-10-24
Issue99Pages:1-18
AbstractRecommender systems are widely used for suggesting books, education materials, and products to users by exploring their behaviors. In reality, users' preferences often change over time, leading to studies on time-dependent recommender systems. However, most existing approaches that deal with time information remain primitive. In this paper, we extend existing methods and propose a hidden semi-Markov model to track the change of users' interests. Particularly, this model allows for capturing the different durations of user stays in a (latent) interest state, which can better model the heterogeneity of user interests and focuses. We derive an expectation maximization algorithm to estimate the parameters of the framework and predict users' actions. Experiments on three real-world datasets show that our model significantly outperforms the state-of-the-art time-dependent and static benchmark methods. Further analyses of the experiment results indicate that the performance improvement is related to the heterogeneity of state durations and the drift of user interests in the dataset.
KeywordTime-dependent Recommendation Collaborative Filtering Hidden Semi-markov Model Recommender System
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13025
Collection综合信息系统研究中心
Corresponding AuthorZhang, Haidong
Affiliation1.Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.Institute of Automation, Chinese Academy of Sciences, Beijing, China
3.Department of Information Systems, City University of Hong Kong, Hong Kong, China
4.Institute of Automation, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Zhang, Haidong,Ni, Wancheng,Li, Xin,et al. Modeling the Heterogeneous Duration of User Interest in Time-dependent Recommendation: A Hidden Semi-Markov Approach[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS,2016(99):1-18.
APA Zhang, Haidong,Ni, Wancheng,Li, Xin,&Yang, Yiping.(2016).Modeling the Heterogeneous Duration of User Interest in Time-dependent Recommendation: A Hidden Semi-Markov Approach.IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS(99),1-18.
MLA Zhang, Haidong,et al."Modeling the Heterogeneous Duration of User Interest in Time-dependent Recommendation: A Hidden Semi-Markov Approach".IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS .99(2016):1-18.
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