Some Challenges for Context-aware Recommender Systems

摘要：

Recently, context-aware recommender systems CARS), which incorporates contextual information into recommender systems, has become one of the hottest topics in the domain of recommender systems. In this paper, we identify and discuss some challenges for context-aware recommender systems, including viewing it as a process, valid contexts discovering and computing, contextual user preference elicitation, classification and design of context-aware recommendation algorithms, lack of publicly available datasets, evaluation, the sparsity problem, taking account of interdisciplinary research and applications. If these issues can be properly addressed, the development of context-aware recommender systems, in our opinion, will be promoted significantly.

关键词： personalization:context-aware recommender systems:challenges

作者: Zhang Yujie Wang Licai

作者单位: Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing,P.R.China

会议类型: 国际会议

会议名称: The 5th International Conference on Computer Science & Education(第五届国际计算机新技术与教育学术研讨会 ICCSE10)

会议地点: 合肥

会议语种:英文

页码: 1726-1729

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）