标题:Fast and Semantic Measurements on Collaborative Tagging Quality
作者:Sun, Yuqing; Sun, Haiqi; Cheng, Reynold
通讯作者:Sun, Yuqing
作者机构:[Sun, Yuqing] Shandong Univ, Sch Comp Sci & Technol, Jinan, Peoples R China.; [Sun, Yuqing] MOE, Engn Res Ctr Digital Media Technol, Jinan, Peoples 更多
会议名称:20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
会议日期:APR 19-22, 2016
来源:ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT II
出版年:2016
卷:9652
页码:363-375
DOI:10.1007/978-3-319-31750-2_29
摘要:This paper focuses on the problem of tagging quality evaluation in collaborative tagging systems. By investigating the dynamics of tagging process, we find that high frequency tags almost cover the main aspects of a resource content and can be determined stable much earlier than a whole tag set. Motivated by this finding, we design the swapping index and smart moving index on tagging quality. We also study the correlations in tag usage and propose the semantic measurement on tagging quality. The proposed methods are evaluated against real datasets and the results show that they are more efficient than previous methods, which are appropriate for a large number of web resources. The effectiveness is justified by the results in tag based applications. The light weight metrics bring a little loss on the performance, while the semantic metric is better than current methods.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987936715&doi=10.1007%2f978-3-319-31750-2_29&partnerID=40&md5=9642782c81662d98a2dc82ed860ee92d
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