Posts tagged TREC Enterprise

mathematics

Parsimonious Relevance Models

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Rel­e­vance feed­back is often applied to bet­ter cap­ture a user’s infor­ma­tion need. Auto­mat­i­cally refor­mu­lat­ing queries (or blind rel­e­vance feed­back) entails look­ing at the terms in some set of (pseudo-)relevant doc­u­ments and select­ing the most infor­ma­tive ones with respect to the set or the col­lec­tion. These terms may then be reweighed More >

TREC

Language Models for Enterprise Search: Query Expansion and Combination of Evidence

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We describe our par­tic­i­pa­tion in the TREC 2006 Enter­prise track. We pro­vide a detailed account of the ideas under­ly­ing our lan­guage mod­el­ing approaches to both the dis­cus­sion search and expert search tasks. For dis­cus­sion search, our focus was on query expan­sion tech­niques, using addi­tional infor­ma­tion from the topic state­ment More >

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