Modeling the Heterogeneous Duration of User  Interest in Time-dependent Recommendation:  A Hidden Semi-Markov Approach

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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
刊名	IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS
	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.
内容类型	期刊论文
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.