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![]() ![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。