Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach | |
Zhang, Haidong1; Ni, Wancheng1; Li, Xin2; Yang, Yiping1 | |
发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS |
2018-02-01 | |
卷号 | 48期号:2页码:177-194 |
文章类型 | Article |
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. |
关键词 | Collaborative Filtering (Cf) Hidden Semi-markov Model (Hsmm) Recommender System Time-dependent Recommendation |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TSMC.2016.2599705 |
关键词[WOS] | SOCIAL NETWORK ; E-COMMERCE ; SYSTEMS ; DYNAMICS ; CHAINS ; WEB |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61174190 ; GuangDong Natural Science Foundation(2015A030313876) ; CityU SRG(7004287) ; Shenzhen Research Institute, City University of Hong Kong ; 71572169) |
WOS研究方向 | Automation & Control Systems ; Computer Science |
WOS类目 | Automation & Control Systems ; Computer Science, Cybernetics |
WOS记录号 | WOS:000422795800002 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21939 |
专题 | 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 |
第一作者单位 | 中国科学院自动化研究所 |
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. |
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