Probabilistic Score Propagation in Information Retrieval
Shakery, Azadeh
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Permalink
https://hdl.handle.net/2142/81816
Description
Title
Probabilistic Score Propagation in Information Retrieval
Author(s)
Shakery, Azadeh
Issue Date
2008
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)
Computer Science
Language
eng
Abstract
"We study three applications of this framework for improving retrieval accuracy in three different areas: ""Hypertext Retrieval"", ""Smoothing of Document Language Models"" and ""Cross-Language Information Retrieval"". The experiment results show that the score propagation framework provides a general effective way of exploiting link information along with the content information to improve the retrieval accuracy."
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