情报杂志Issue(12)：170-173,126,5.DOI:10.3969/j.issn.1002-1965.2014.12.031
融合用户标签和关系的微博用户相似性度量
Similarity Measurement of Micro-blogging Users Merging User Tags and Relationships
摘要
Abstract
Existing measurement methods of micro-blogging usersˊsimilarity are mainly based on user relationships. In fact, user tags can directly characterize userˊs interests, and is another impacting factor of user similarity. A new similarity measurement method of micro-blogging users based on webpage similarity computation is given, which effectively integrates user relationships and tags. The new method firstly computes the similarity of link-into tags and link-out tags, and then obtaines the final similarity by liner meditating the two. The experiment result based on data collected from Sina Weibo indicates that the classification accuracy of the new method is obviously higher than the method that only considers user relationships.关键词
社交网络/微博用户/相似性度量/用户标签/用户关系/网页相似度Key words
social networks/micro-blogging users/similarity measurement/user tags/user relationships/webpage similarity分类
社会科学引用本文复制引用
吴树芳,徐建民,武晓波..融合用户标签和关系的微博用户相似性度量[J].情报杂志,2014,(12):170-173,126,5.基金项目
中国博士后科学基金资助项目“基于量化术语关系的贝叶斯网络检索模型扩展研究”(编号:20070420700) （编号:20070420700）
河北省自然科学基金资助项目“基于本体的贝叶斯网络信息检索模型扩展”(编号:F2011201146)。 （编号:F2011201146）
