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Cross-Space Affinity Learning with Its Application to Movie Recommendation

文献类型：期刊论文

作者Tang, Jinhui1; Qi, Guo-Jun2,3; Zhang, Liyan4; Xu, Changsheng5
刊名IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
出版日期2013-07-01
卷号25期号:7页码:1510-1519
关键词Cross-space affinity learning heterogeneous spaces movie recommendation
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]SYSTEMS
收录类别SCI
语种英语
WOS记录号WOS:000319461800006
源URL[http://ir.ia.ac.cn/handle/173211/2844]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
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.

入库方式： OAI收割

来源：自动化研究所

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