Socially-Aware Recommendations in Collaborative Tagging Sites
November 17, 2008
Speaker: Sihem Amer-Yahia
Senior Research Scientist, Yahoo! Research - NYC
Time: Monday, Nov 17, 2PM
Location: Babbio 221, Stevens Institute of Technology
Host: Wendy Hui Wang
Collaborative tagging sites constitute a unique opportunity for leveraging implicit and explicit social ties in search and recommendations. This talk describes our work in the context of Royal Jelly, a platform for socially-aware recommendations in collaborative tagging sites. The key aspects of RJ are search over recommendations, topic derivation from tags, efficient recommendation algorithms and diversity in recommendations. We describe some of our solutions in that space and an overview of the challenges ahead.
Sihem Amer-Yahia is a Senior Research Scientist at Yahoo! Research in NYC. Her interests are at the intersection of databases, search and recommendations in social content sites. Before that, she spent 7 years at AT&T Labs in NJ, working on XML query optimization and XML full-text search. Sihem is an editor of the XML full-text language documents recommended by the W3C. This year, she is on the editorial board of the Springer Encyclopedia of Database Systems as an editor of the XML entry, she also edited the Data Engineering Bulletin special issue on databases, search and recommendations and she is chairing the database track of CIKM 2008.