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Social bookmarking behaviors of college students:A survey of Wuhan University Library users 被引量:1
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作者 Dan WU Xiaomei XU Wenting YU 《Chinese Journal of Library and Information Science》 2013年第3期15-30,共16页
Purpose:To have a better understanding of library users' social bookmarking behaviors,we conducted a survey of college students to examine how much attention they have paid to social bookmarking results,their soci... Purpose:To have a better understanding of library users' social bookmarking behaviors,we conducted a survey of college students to examine how much attention they have paid to social bookmarking results,their social bookmarking motivations and behaviors on book sharing sites and in their library's OPAC,and their expectations to their library's social bookmarking service.Design/methodology/approach:A questionnaire survey was conducted to investigate social bookmarking behaviors and motivations of users of Wuhan University Library(WUL) on book sharing sites and in WUL's OPAC.A total of 700 questionnaires were distributed and357 valid questionnaires were retrieved.SPSS was used for data analysis.Findings:The results revealed that there were differences between users' social bookmarking behaviors on book sharing sites and in the Library's OPAC.Users preferred to use tags than add tags on book sharing sites.The main tagging motivation on book sharing sites was for meeting users' specific needs such as collection management and book recommendations.As for the Library,the lack of publicity and promotion of the social bookmarking service led to insufficient use of the Library's service.Due to a lack of knowledge of the social bookmarking service,users did not care about the lectures or publicity campaigns about the Library's social bookmarking service.Research limitations:Because social bookmarking was not common among WUL users,and the questionnaires could be handed out to a limited number of people,it was hard to describe users' social bookmarking behaviors in the Library's OPAC by investigating a sample of 357Library users,and therefore we only investigated users' social bookmarking behaviors on the book sharing sites.Practical implications:The survey results provide insights into library users' social bookmarking behaviors and motivations.The study will help academic libraries improve their social bookmarking service.Originality/value:In spite of growing popularity of social bookmarking sites,little has been known about the social bookmarking behaviors of library users.This study investigated college students' social bookmarking behaviors and motivations,providing suggestions for academic libraries to improve their social bookmarking services. 展开更多
关键词 Social bookmarking behavior Social bookmark Tagging RATING Academic libraries
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Improving Web Document Clustering through Employing User-Related Tag Expansion Techniques 被引量:5
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作者 李鹏 王斌 晋薇 《Journal of Computer Science & Technology》 SCIE EI CSCD 2012年第3期554-566,共13页
As high quality descriptors of web page semantics, social annotations or tags have been used for web document clustering and achieved promising results. However, most web pages have few tags (less than 10). This spa... As high quality descriptors of web page semantics, social annotations or tags have been used for web document clustering and achieved promising results. However, most web pages have few tags (less than 10). This sparsity seriously limits the usage of tags for clustering. In this work, we propose a user-related tag expansion method to overcome this problem, which incorporates additional useful tags into the original tag document by utilizing user tagging data as background knowledge. Unfortunately, simply adding tags may cause topic drift, i.e., the dominant topic(s) of the original document may be changed. To tackle this problem, we have designed a novel generative model called Folk-LDA, which jointly models original and expanded tags as independent observations. Experimental results show that 1) our user-related tag expansion method can be effectively applied to over 90% tagged web documents; 2) Folk-LDA can alleviate topic drift in expansion, especially for those topic-specific documents; 3) the proposed tag-based clustering methods significantly outperform the word-based methods., which indicates that tags could be a better resource for the clustering task. 展开更多
关键词 web document clustering social bookmarking topic model tag expansion
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