From del.icio.us to x.qui.site: recommendations in social tagging sites

  • Authors:
  • Sihem Amer-Yahia;Alban Galland;Julia Stoyanovich;Cong Yu

  • Affiliations:
  • Yahoo! Research, New York, NY, USA;Yahoo! Research and INRIA Saclay, New York, USA;Columbia University, New York, NY, USA;Yahoo! Research, New York, NY, USA

  • Venue:
  • Proceedings of the 2008 ACM SIGMOD international conference on Management of data
  • Year:
  • 2008

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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.