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论文类型：期刊论文

发表时间：2011-12-01

发表刊物：Journal of Computational Information Systems

收录刊物：EI、Scopus

卷号：7

期号：16

页面范围：5948-5955

ISSN号：15539105

摘要：This paper focus on the issue of how to mine high quality users and resources in folksonomy systems. There is a relationship of mutual reinforce between users and resources. We propose a new iterative algorithm, called Social-Quality, in this study to measure the qualities of users and resources in folksonomy systems. We evaluate the quality of top users mined by our algorithm based on a real-world annotation data set which is sampled from Delicious. Furthermore, we use the quality information of resources obtained by Social-Quality to enhance information retrieval. The experimental result shows that our proposed algorithm is inspiring. ? 2011 by Binary Information Press.