Collaborative Personalized Top-k Processing

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.


Publié dans:
ACM Transactions on Database Systems, 36, -
Année
2011
Publisher:
Association for Computing Machinery
ISSN:
0362-5915
Mots-clefs:
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 Notice créée le 2012-06-25, modifiée le 2019-12-05

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