图 书 馆
人们在大众分类法：从社会共享的元数据链接预测Folks in Folksonomies: Social Link Prediction from Shared Metadata |
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| 课程网址: | http://videolectures.net/wsdm2010_menczer_fif/ |
| 主讲教师: | Filippo Menczer |
| 开课单位: | 印第安纳大学 |
| 开课时间: | 2010-05-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create light-weight semantic scaffolding to organize and share content. To date, the interplay of the social and semantic components of social media has been only partially explored. Here we focus on Flickr and Last.fm, two social media systems in which we can relate the tagging activity of the users with an explicit representation of their social network. We show that a substantial level of local lexical and topical alignment is observable among users who lie close to each other in the social network. We introduce a null model that preserves user activity while removing local correlations, allowing us to disentangle the actual local alignment between users from statistical effects due to the assortative mixing of user activity and centrality in the social network. This analysis suggests that users with similar topical interests are more likely to be friends, and therefore semantic similarity measures among users based solely on their annotation metadata should be predictive of social links. We test this hypothesis on the Last.fm data set, confirming that the social network constructed from semantic similarity captures actual friendship more accurately than Last.fm’s suggestions based on listening patterns. |
| 关 键 词: | 语义脚手架; 空模型保留用户; 社会网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-27：zyk |
| 阅读次数: | 45 |