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Using social annotations to enhance document representation for personalized search

conference contribution
posted on 2013-01-01, 00:00 authored by Mohamed Reda BouadjenekMohamed Reda Bouadjenek, H Hacid, M Bouzeghoub, A Vakali
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 PS-DRs 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. Copyright © 2013 ACM.

History

Pagination

1049-1052

Location

Dublin, Ireland

Start date

2013-07-28

End date

2013-08-01

ISBN-13

9781450320344

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

SIGIR 2013 : Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Event

Research and development in information retrieval. Conference (2013 : Dublin, Ireland)

Publisher

ACM

Place of publication

New York, N.Y.

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