Domain-Sensitive Recommendation with User-Item Subgroup Analysis
Liu, Jing1; Jiang, Yu1; Li, Zechao2; Zhang, Xi1; Lu, Hanqing1
2016-04-01
发表期刊IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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
DOI10.1109/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
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10725
专题模式识别国家重点实验室_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
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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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