From del.icio.us to x.qul.site: Recommendations in social tagging sites

Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich, Cong Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present X.QUI,SITE, a scalable system for managing recommendations for social tagging sites like del.icio.us, seamlessly incorporates various user behaviors into the recommendations and aims to recommend not only items of interest, but also other relevant information like interesting people and/or topics. Explanations are also provided so that users can obtain a better understanding of the recommendations and decide which recommendations to pursue further. We discuss the technical challenges involved in characterizing different user behaviors and in efficiently computing recommendation explanations.

    Original languageEnglish (US)
    Title of host publicationSIGMOD 2008
    Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data 2008
    Pages1323-1326
    Number of pages4
    DOIs
    StatePublished - 2008
    Event2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08 - Vancouver, BC, Canada
    Duration: Jun 9 2008Jun 12 2008

    Publication series

    NameProceedings of the ACM SIGMOD International Conference on Management of Data
    ISSN (Print)0730-8078

    Conference

    Conference2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08
    CountryCanada
    CityVancouver, BC
    Period6/9/086/12/08

    Keywords

    • Collaborative filtering
    • Tagging

    ASJC Scopus subject areas

    • Software
    • Information Systems

    Cite this