中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling the Heterogeneous Duration of User Interest in Time-dependent Recommendation: A Hidden Semi-Markov Approach

文献类型:期刊论文

作者Zhang, Haidong; Ni, Wancheng; Li, Xin; Yang, Yiping
刊名IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS
出版日期2016-10-24
期号99页码:1-18
关键词Time-dependent Recommendation Collaborative Filtering Hidden Semi-markov Model Recommender System
英文摘要Recommender 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.
源URL[http://ir.ia.ac.cn/handle/173211/13025]  
专题自动化研究所_综合信息系统研究中心
通讯作者Zhang, Haidong
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

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