Coupled Topic Model for Collaborative Filtering With User-Generated Content

doi:10.1109/THMS.2016.2586480

CASIA OpenIR > 智能感知与计算研究中心

	Coupled Topic Model for Collaborative Filtering With User-Generated Content
	Wu, Shu1 ; Guo, Weiyu 2; Xu, Song 3; Huang, Yongzhen1 ; Wang, Liang1 ; Tan, Tieniu1
发表期刊	IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
	2016-12-01
卷号	46 期号:6 页码:908-920
文章类型	Article
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.
关键词	Collaborative Filtering (Cf) Recommender Systems (Rs) Topic Model User-generated Content (Ugc)
WOS标题词	Science & Technology ; Technology
DOI	10.1109/THMS.2016.2586480
关键词[WOS]	SYSTEMS
收录类别	SCI
语种	英语
项目资助者	National Basic Research Program of China(2012CB316300) ; National Natural Science Foundation of China(61403390 ; U1435221)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000388864400012
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12310
专题	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
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Coupled Topic Model （997KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载