LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3Columbia University [New York] (Columbia University in the City of New York, 2960 Broadway, New York, NY 10027-6902 - United States)
Abstract : We present x.qui.site, a scalable system for managing rec- ommendations for social tagging sites like del.icio.us. seam- lessly incorporates various user behaviors into the recom- mendations and aims to recommend not only items of in- terest, 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 recommenda- tions and decide which recommendations to pursue further. We discuss the technical challenges involved in character- izing different user behaviors and in efficiently computing recommendation explanations.
https://hal.inria.fr/inria-00521708 Contributor : Alban GallandConnect in order to contact the contributor Submitted on : Tuesday, September 28, 2010 - 2:09:31 PM Last modification on : Sunday, June 26, 2022 - 11:52:19 AM Long-term archiving on: : Wednesday, December 29, 2010 - 2:47:40 AM
Sihem Amer-yahia, Alban Galland, Julia Stoyanovich, Cong yu. [Demo] From del.icio.us to x.qui.site: recommendations in social tagging sites. SIGMOD, Jun 2009, Vancouver, Canada. ⟨10.1145/1376616.1376766⟩. ⟨inria-00521708⟩