Cross-Space Affinity Learning with Its Application to Movie Recommendation

	Cross-Space Affinity Learning with Its Application to Movie Recommendation
	Tang, Jinhui 1; Qi, Guo-Jun 2,3; Zhang, Liyan 4; Xu, Changsheng5
发表期刊	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2013-07-01
卷号	25 期号:7 页码:1510-1519
文章类型	Article
摘要	In this paper, we propose a novel cross-space affinity learning algorithm over different spaces with heterogeneous structures. Unlike most of affinity learning algorithms on the homogeneous space, we construct a cross-space tensor model to learn the affinity measures on heterogeneous spaces subject to a set of order constraints from the training pool. We further enhance the model with a factorization form which greatly reduces the number of parameters of the model with a controlled complexity. Moreover, from the practical perspective, we show the proposed factorized cross-space tensor model can be efficiently optimized by a series of simple quadratic optimization problems in an iterative manner. The proposed cross-space affinity learning algorithm can be applied to many real-world problems, which involve multiple heterogeneous data objects defined over different spaces. In this paper, we apply it into the recommendation system to measure the affinity between users and the product items, where a higher affinity means a higher rating of the user on the product. For an empirical evaluation, a widely used benchmark movie recommendation data set-MovieLens-is used to compare the proposed algorithm with other state-of-the-art recommendation algorithms and we show that very competitive results can be obtained.
关键词	Cross-space Affinity Learning Heterogeneous Spaces Movie Recommendation
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SYSTEMS
收录类别	SCI
语种	英语
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:000319461800006
引用统计	被引频次：16[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/173211/2844
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China 2.Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA 3.Univ Illinois, Beckman Inst, Urbana, IL 61801 USA 4.Univ Calif Irvine, Dept Informat & Comp Sci, Irvine, CA 92697 USA 5.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Tang, Jinhui,Qi, Guo-Jun,Zhang, Liyan,et al. Cross-Space Affinity Learning with Its Application to Movie Recommendation[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2013,25(7):1510-1519.
APA	Tang, Jinhui,Qi, Guo-Jun,Zhang, Liyan,&Xu, Changsheng.(2013).Cross-Space Affinity Learning with Its Application to Movie Recommendation.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,25(7),1510-1519.
MLA	Tang, Jinhui,et al."Cross-Space Affinity Learning with Its Application to Movie Recommendation".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 25.7(2013):1510-1519.