P
Paul Heymann
Researcher at Stanford University
Publications - 12
Citations - 2179
Paul Heymann is an academic researcher from Stanford University. The author has contributed to research in topics: Anchor text & Cluster analysis. The author has an hindex of 11, co-authored 12 publications receiving 2162 citations. Previous affiliations of Paul Heymann include Yahoo!.
Papers
More filters
Proceedings ArticleDOI
Can social bookmarking improve web search
TL;DR: It is concluded that social bookmarking can provide search data not currently provided by other sources, though it may currently lack the size and distribution of tags necessary to make a significant impact.
Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems
TL;DR: A simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags is discovered.
Proceedings ArticleDOI
Social tag prediction
TL;DR: An entropy-based metric is found which captures the generality of a particular tag and informs an analysis of how well that tag can be predicted and it is found that tag-based association rules can produce very high-precision predictions as well as giving deeper understanding into the relationships between tags.
Journal ArticleDOI
Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges
TL;DR: Although many of these countermeasures have been proposed before for email and Web spam, the authors find that their applicability to social Web sites differs.
Proceedings ArticleDOI
Clustering the tagged web
TL;DR: It is demonstrated how user-generated tags from large-scale social bookmarking websites such as del.icio.us can be used as a complementary data source to page text and anchor text for improving automatic clustering of web pages.