Contextual Operation for Recommender Systems | |
Wu, Shu; Liu, Qiang; Wang, Liang; Tan, Tieniu | |
刊名 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING |
2016-08-01 | |
卷号 | 28期号:8页码:2000-2012 |
关键词 | Recommender Systems Context-aware Contextual Information Context Representation Context Operation |
DOI | 10.1109/TKDE.2016.2562621 |
文献子类 | Article |
英文摘要 | With the rapid growth of various applications on the Internet, recommender systems become fundamental for helping users alleviate the problem of information overload. Since contextual information is a significant factor in modeling the user behavior, various context-aware recommendation methods have been proposed recently. The state-of-the-art context modeling methods usually treat contexts as certain dimensions similar to those of users and items, and capture relevances between contexts and users/items. However, such kind of relevance has much difficulty in explanation. Some works on multi-domain relation prediction can also be used for the context-aware recommendation, but they have limitations in generating recommendations under a large amount of contextual information. Motivated by recent works in natural language processing, we represent each context value with a latent vector, and model the contextual information as a semantic operation on the user and item. Besides, we use the contextual operating tensor to capture the common semantic effects of contexts. Experimental results show that the proposed Context Operating Tensor (COT) model yields significant improvements over the competitive compared methods on three typical datasets. From the experimental results of COT, we also obtain some interesting observations which follow our intuition. |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000380122200005 |
资助机构 | National Basic Research Program of China(2012CB316300) ; National Natural Science Foundation of China(61403390 ; U1435221) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/12167] |
专题 | 自动化研究所_智能感知与计算研究中心 |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Shu,Liu, Qiang,Wang, Liang,et al. Contextual Operation for Recommender Systems[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2016,28(8):2000-2012. |
APA | Wu, Shu,Liu, Qiang,Wang, Liang,&Tan, Tieniu.(2016).Contextual Operation for Recommender Systems.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,28(8),2000-2012. |
MLA | Wu, Shu,et al."Contextual Operation for Recommender Systems".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 28.8(2016):2000-2012. |
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