Publication

Collaborative Personalized Top-k Processing

Rachid Guerraoui, Anne-Marie Kermarrec
2011
Journal Articles

Abstract

This article presents P4Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P4Q dynamically associates each user with social acquaintances sharing similar tagging behaviors. 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 P4Q for top-k query processing, as well its inherent ability to cope with users updating profiles and departing.

Official source

https://infoscience.epfl.ch/entities/publication/a8e3b87d-9617-4275-a815-67f1b942de77

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Collaborative Personalized Top-k Processing

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