Collaborative personalized top-k processing

• Autores: Xiao-Xi Bai, Rachid Guerraoui, Anne-Marie Kermarrec, Vincent Leroy
• Localización: ACM transactions on database systems, ISSN 0362-5915, Vol. 36, Nº 4, 2011, pág. 26
• Idioma: inglés
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• Resumen

  • 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.