Improve KL -Divergence Language Models in Information Retrieval Using Corpus Local Structures
Tao, Tao
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Permalink
https://hdl.handle.net/2142/81805
Description
Title
Improve KL -Divergence Language Models in Information Retrieval Using Corpus Local Structures
Author(s)
Tao, Tao
Issue Date
2007
Doctoral Committee Chair(s)
Zhai, ChengXiang
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Information Science
Language
eng
Abstract
In summary, this thesis studies KL-divergence from different perspectives and proposes several new models to address the existing problems in KL-divergence language models. It results in more effective retrieval models, which should potentially benefit all retrieval applications.
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