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Query Expansion: Internet Mining vs. Pseudo Relevance Feedback

Dmitri Roussinov and Gheorghe Muresan

(Submission #71)


We report an investigation of techniques for mining world wide web in order to identify terms (single words or phrases) that are highly related to a topic (query) described by a short (one sentence or a paragraph-long) interest state-ment. These related terms are subsequently used to improve automated document retrieval. By following a standard test-ing methodology, we established that our technique improves the effectiveness of retrieval up to 8% over currently best known techniques (strong baseline).


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