P2Prec: a Recommendation Service for P2P Content Sharing Systems - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2010

P2Prec: a Recommendation Service for P2P Content Sharing Systems

Fady Draidi
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Esther Pacitti
Bettina Kemme
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Abstract

In this paper, we propose P2Prec, a recommendation service for P2P content sharing systems that exploits users' social data. The key idea is to recommend to a user high quality documents in a specific topic using ratings of friends (or friends of friends) who are expert in that topic. To manage users' social data, we rely on Friend-Of-A-Friend (FOAF) descriptions. P2Prec has a hybrid P2P architecture to work on top of any P2P content sharing system. It combines efficient DHT indexing to manage the users' FOAF files with gossip robustness to disseminate the topics of expertise between friends. In our experimental evaluation, using the CiteSeer dataset, we show that P2Prec has the ability to get the maximum recall with very good performance. Furthermore, it increases recall and precision by a factor of 2 compared with centralized solutions.
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Dates and versions

lirmm-00604373 , version 1 (28-06-2011)

Identifiers

  • HAL Id : lirmm-00604373 , version 1

Cite

Fady Draidi, Esther Pacitti, Patrick Valduriez, Bettina Kemme. P2Prec: a Recommendation Service for P2P Content Sharing Systems. BDA: Bases de Données Avancées, Oct 2010, Toulouse, France. ⟨lirmm-00604373⟩
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