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	A paper recommender for scientific literatures based on semantic concept similarity
	Zhang, Ming ; Wang, Weichun ; Li, Xiaoming
	2008
英文摘要	Recently, collaborative tagging has become more and more popular in the Web2.0 community, since tags in these Web2.0 systems reflect the specific content features of the resources. This paper presents a recommender for scientific literatures based on semantic concept similarity computed from the collaborative tags. User profiles and item profiles are presented by these semantic concepts, and neighbor users are selected using collaborative filtering. Then, content-based filtering approach is used to generate recommendation list from the papers these neighbor users tagged. The evaluation is carried out on a dataset crawled from CiteULike, with satisfied experiment results. ? 2008 Springer Berlin Heidelberg.; EI; 1
语种	英语
DOI标识	10.1007/978-3-540-89533-6-44
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294966]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Ming,Wang, Weichun,Li, Xiaoming. A paper recommender for scientific literatures based on semantic concept similarity. 2008-01-01.

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