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

doi:10.1109/TSMC.2016.2599705

CORC > 自动化研究所 > 中国科学院自动化研究所 > 综合信息系统研究中心

	Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach
	Zhang, Haidong1 ; Ni, Wancheng1 ; Li, Xin 2; Yang, Yiping1
刊名	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
	2018-02-01
卷号	48 期号:2 页码:177-194
关键词	Collaborative Filtering (Cf) Hidden Semi-markov Model (Hsmm) Recommender System Time-dependent Recommendation
DOI	10.1109/TSMC.2016.2599705
文献子类	Article
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.
WOS关键词	SOCIAL NETWORK ; E-COMMERCE ; SYSTEMS ; DYNAMICS ; CHAINS ; WEB
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
WOS记录号	WOS:000422795800002
资助机构	National Natural Science Foundation of China(61174190 ; GuangDong Natural Science Foundation(2015A030313876) ; CityU SRG(7004287) ; Shenzhen Research Institute, City University of Hong Kong ; 71572169)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/21939]
专题	自动化研究所_综合信息系统研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.City Univ Hong Kong, Dept Informat Syst, Hong Kong, Hong Kong, Peoples R 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 CYBERNETICS-SYSTEMS,2018,48(2):177-194.
APA	Zhang, Haidong,Ni, Wancheng,Li, Xin,&Yang, Yiping.(2018).Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,48(2),177-194.
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 CYBERNETICS-SYSTEMS 48.2(2018):177-194.