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	Examining Influences of Publication Dates on Citation Recommendation Systems
	Gao, Zequn
	2015
关键词	component Digital library Recommender Systems Information retrieval LATENT SEMANTIC ANALYSIS
英文摘要	Citation recommendation is a research problem that is both interesting and challenging. Recent years, various methods [2] [4] [12] have been put forward. But these methods omit some features, which are also usable. Firstly, in a common citation recommendation system, each document has a value of rank, which estimates its relevance to the target paper. However, even if some papers have the same value of rank, they may not satisfy the needs of users to the same extent, as users always prefer to newer ones. In this paper, we also examine the effect of paper publication year in citation recommendation. Specifically, we use curve fitting methods to describe the distribution of citation publication year of each venue, and use it as a coefficient in citation recommendation. Secondly, an author may have done research for many years, and his research interests may have changed several times. So, authors may have different features in different years. When considering similarity of authors of two papers, authors' research interests about the paper should be taken into account, too. In this paper, we proposed a time-difference-dependent citation recommendation, which utilizes author research interests and candidate papers' publication dates. Experiments on both AAN [20] and Microsoft Academic show our system outperform the baseline systems.; CPCI-S(ISTP); 1400-1405
语种	英语
出处	12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/450184]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gao, Zequn. Examining Influences of Publication Dates on Citation Recommendation Systems. 2015-01-01.

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