中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coupled Topic Model for Collaborative Filtering With User-Generated Content

文献类型:期刊论文

作者Wu, Shu1; Guo, Weiyu2; Xu, Song3; Huang, Yongzhen1; Wang, Liang1; Tan, Tieniu1
刊名IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
出版日期2016-12-01
卷号46期号:6页码:908-920
关键词Collaborative Filtering (Cf) Recommender Systems (Rs) Topic Model User-generated Content (Ugc)
DOI10.1109/THMS.2016.2586480
文献子类Article
英文摘要The user-generated content (UGC) is a type of dyadic information that provides description of the interaction between users and items (such as rating, purchasing, etc.). Most conventional methods incorporate either a user profile or the item description, which cannot well utilize this kind of content information. Some other works jointly consider user ratings and reviews, but they are based on the factorization technique and have difficulty in providing explanations on generated recommendations. In this study, a coupled topicmodel (CoTM) for recommendation with UGCis developed. By combiningUGCand ratings, themethod discussed in this study captures both the content-based preferences and collaborative preferences and, thus, can explain both the user and item latent spaces using the topics discovered from the UGC. The learned topics in CoTM can also serve as proper explanations for the generated recommendations. Experimental results show that the proposed CoTM model yields significant improvements over the compared competitive methods on two typical datasets, that is, MovieLens-10M and Citation-network V1. The topics discovered by CoTM can be used not only to illustrate the topic distributions of users and items, but also to explain the generated user-item recommendations.
WOS关键词SYSTEMS
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000388864400012
资助机构National Basic Research Program of China(2012CB316300) ; National Natural Science Foundation of China(61403390 ; U1435221)
源URL[http://ir.ia.ac.cn/handle/173211/12310]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Wu, Shu
作者单位1.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
3.IBM Res China, Beijing 100193, Peoples R China
推荐引用方式
GB/T 7714
Wu, Shu,Guo, Weiyu,Xu, Song,et al. Coupled Topic Model for Collaborative Filtering With User-Generated Content[J]. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS,2016,46(6):908-920.
APA Wu, Shu,Guo, Weiyu,Xu, Song,Huang, Yongzhen,Wang, Liang,&Tan, Tieniu.(2016).Coupled Topic Model for Collaborative Filtering With User-Generated Content.IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS,46(6),908-920.
MLA Wu, Shu,et al."Coupled Topic Model for Collaborative Filtering With User-Generated Content".IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS 46.6(2016):908-920.

入库方式: OAI收割

来源:自动化研究所

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