The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
XRank: Learning More fromWeb User Behaviors
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Learning from YouTube: an analysis of information literacy in user discourse
Proceedings of the 2011 iConference
HealthTrust: trust-based retrieval of you tube's diabetes channels
Proceedings of the 20th ACM international conference on Information and knowledge management
Hi-index | 0.00 |
In the Web 2.0 era, people not only read web contents but upload, view, share and evaluate all contents on the web. This leads us to introduce a new type of social network that is based on user activity and content metadata. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a user evaluation algorithm for user-generated video sharing website such as YouTube.