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EDBT
2010
ACM

Gossiping personalized queries

11 years 6 months ago
Gossiping personalized queries
This paper presents P3Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P3Q dynamically associates each user with social acquaintances sharing similar tagging behaviours. Queries are gossiped among such acquaintances, computed on the fly in a collaborative, yet partitioned manner, and results are iteratively refined and returned to the querier. Analytical and experimental evaluations convey the scalability of P3Q for top-k query processing. More specifically, we show that on a 10,000-user delicious trace, with little storage at each user, the queries are accurately computed within reasonable time and bandwidth consumption. We also report on the inherent ability of P3Q to cope with users updating profiles and departing.
Xiao Bai, Marin Bertier, Rachid Guerraoui, Anne-Ma
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2010
Where EDBT
Authors Xiao Bai, Marin Bertier, Rachid Guerraoui, Anne-Marie Kermarrec, Vincent Leroy
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