Master of Science (MS)
First Committee Member
Number of Pages
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.
Automatic; Clustering; Feedback; Information; Retrieval
Computer science; Information science
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to firstname.lastname@example.org and include clear identification of the work, preferably with URL.
Venkatachaliah, Girish, "Automatic clustering and feedback in information retrieval" (1997). UNLV Retrospective Theses & Dissertations. 3388.