IDUF: An active learning based scenario for relevance feedback query expansion

Seyed Mohammad Bidoki, Seyed Mohammad Reza Moosavi · 2012

In usual Information Retrieval (IR) systems, the user query is represented in the form of a keyword set. Information resources are retrieved according to their similarities to this query. Consequently if query is not declared with appropriate terms, retrieved results would not be satisfactory. Therefore query refinement procedures are incorporated to improve the efficiency of the IR systems.

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