Using social annotations to enhance document representation for personalized search

Authors:
Mohamed Reda BOUADJENEK;Hakim Hacid;Mokrane Bouzeghoub;Athena Vakali
Affiliations:
PRiSM Laboratory, Versailles University, Versailles, France;SideTrade, France, Boulogne-Billancourt, France;PRiSM Laboratory, Versailles University, Versailles, France;Aristotle University of Thessaloniki, Thessaloniki, Greece
Venue:
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Year:
2013

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Abstract

In this paper, we present a contribution to IR modeling. We propose an approach that computes on the fly, a Personalized Social Document Representation (PSDR) of each document per user based on his social activities. The PSDRs are used to rank documents with respect to a query. This approach has been intensively evaluated on a large public dataset, showing significant benefits for personalized search.