Risk minimization and language modeling in text retrieval dissertation abstract
ACM SIGIR ForumPublished 1 September 2002
ChengXiang Zhai
Citations33
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TL;DR
A new text retrieval framework based on Bayesian decision theory is presented, which unifies several existing retrieval models, including the recently proposed language modeling approach, within one general probabilistic framework and allows for incorporating user factors beyond the traditional notion of topical relevance.
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Keywords
Computer Science