Award Date
1-1-1997
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Committee Member
Kazem Taghva
Number of Pages
66
Abstract
Clustering and feedback have been used in information retrieval to improve the effectiveness of retrieving relevant documents. In this thesis, we investigate the retrieval effectiveness from various document collections in presence of both clustering and feedback. More precisely, we apply a clustering algorithm to an initial run of our queries to choose appropriate clusters for feedback. The clustering and feedback are done automatically.
Keywords
Automatic; Clustering; Feedback; Information; Retrieval
Controlled Subject
Computer science; Information science
File Format
File Size
1597.44 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Venkatachaliah, Girish, "Automatic clustering and feedback in information retrieval" (1997). UNLV Retrospective Theses & Dissertations. 3388.
http://dx.doi.org/10.25669/x8vc-ebtb
Rights
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