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 - États-Unis)
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
Contributeur : Alban Galland
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Soumis le : mardi 28 septembre 2010 - 14:09:31
Dernière modification le : jeudi 5 avril 2018 - 12:30:12
Document(s) archivé(s) le : mercredi 29 décembre 2010 - 02:47:40
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. 2008, 〈10.1145/1376616.1376766〉. 〈inria-00521708〉
