Query Model Estimations for Relevance Feedback in Language Modeling Approach (original) (raw)

Lecture Notes in Computer Science, 2005

Abstract

Recently, researchers have successfully augmented the language modeling approach with a well-founded framework in order to incorporate relevance feedback. A critical problem in this framework is to estimate a query language model that encodes detailed knowledge about a user’s information need. This paper explores several methods for query model estimation, motivated by Zhai’s generative model. The generative model is an

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