Socially-Aware Recommendations in Collaborative Tagging Sites

Date: 
Thursday, September 18, 2008 - 4:36pm

UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:
WEDNESDAY, OCTOBER 22, 2008
3:30 – 4:30
Computer Science Conference Room, Harold Frank Hall Rm. 1132
HOST: AMR EL ABBADI
SPEAKER: SIHEM AMER-YAHIA
Senior Research Scientist, Yahoo! Research – NYC

    Title: Socially-Aware Recommendations in Collaborative Tagging Sites

    Abstract:
    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.

    Bio:

    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.