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CIKM
2001
Springer

Model-based Feedback in the Language Modeling Approach to Information Retrieval

9 years 7 months ago
Model-based Feedback in the Language Modeling Approach to Information Retrieval
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations. However, feedback, as one important component in a retrieval system, has only been dealt with heuristically in this new retrieval approach: the original query is usually literally expanded by adding additional terms to it. Such expansion-based feedback creates an inconsistent interpretation of the original and the expanded query. In this paper, we present a more principled approach to feedback in the language modeling approach. Specifically, we treat feedback as updating the query language model based on the extra evidence carried by the feedback documents. Such a model-based feedback strategy easily fits into an extension of the language modeling approach. We propose and evaluate two different approaches to updating a query language model based on feedback documents, one based on a generative probabilistic model of feedback docu...
ChengXiang Zhai, John D. Lafferty
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where CIKM
Authors ChengXiang Zhai, John D. Lafferty
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