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Inferring document utility via a decision-making based retrieval model
2010
Journal of Knowledge-based & Intelligent Engineering Systems
It is well known that a query is an approximate representation of the user's information needs since it does not provide a sufficient specification of the attended results. Numerous studies addressed this issue using techniques for better eliciting either document or query representations. More recent studies investigated the use of search context to better understand the user intent, driven by the query, in order to deliver personalized information results. In this article, we propose a
doi:10.3233/kes-2010-0193
fatcat:ygmyhbit65f7zehmpoerpnzei4