Domain-Sensitive Recommendation with User-Item Subgroup Analysis

doi:10.1109/TKDE.2015.2492540

	Domain-Sensitive Recommendation with User-Item Subgroup Analysis
	Liu, Jing1 ; Jiang, Yu 1; Li, Zechao 2; Zhang, Xi 1; Lu, Hanqing1
发表期刊	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2016-04-01
卷号	28 期号:4 页码:939-950
文章类型	Article
摘要	Collaborative Filtering (CF) is one of the most successful recommendation approaches to cope with information overload in the real world. However, typical CF methods equally treat every user and item, and cannot distinguish the variation of user's interests across different domains. This violates the reality that user's interests always center on some specific domains, and the users having similar tastes on one domain may have totally different tastes on another domain. Motivated by the observation, in this paper, we propose a novel Domain-sensitive Recommendation (DsRec) algorithm, to make the rating prediction by exploring the user-item subgroup analysis simultaneously, in which a user-item subgroup is deemed as a domain consisting of a subset of items with similar attributes and a subset of users who have interests in these items. The proposed framework of DsRec includes three components: a matrix factorization model for the observed rating reconstruction, a bi-clustering model for the user-item subgroup analysis, and two regularization terms to connect the above two components into a unified formulation. Extensive experiments on Movielens-100K and two real-world product review datasets show that our method achieves the better performance in terms of prediction accuracy criterion over the state-of-the-art methods.
关键词	Recommender System Matrix Factorization User-item Subgroup Collaborative Filtering
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TKDE.2015.2492540
收录类别	SCI
语种	英语
项目资助者	973 Program(2012CB316304) ; National Natural Science Foundation of China(61332016 ; 61272329 ; 61472422)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000372543500008
引用统计	被引频次：19[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/173211/10725
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liu, Jing,Jiang, Yu,Li, Zechao,et al. Domain-Sensitive Recommendation with User-Item Subgroup Analysis[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2016,28(4):939-950.
APA	Liu, Jing,Jiang, Yu,Li, Zechao,Zhang, Xi,&Lu, Hanqing.(2016).Domain-Sensitive Recommendation with User-Item Subgroup Analysis.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,28(4),939-950.
MLA	Liu, Jing,et al."Domain-Sensitive Recommendation with User-Item Subgroup Analysis".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 28.4(2016):939-950.

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