DocumentCode
2815487
Title
An evaluation of new and old similarity ranking algorithms
Author
Lynch, Paul ; Luan, Xiaocheng ; Prettyman, Maureen ; Mericle, Lee ; Borkmann, Edward ; Schlaifer, Jonathan
Author_Institution
Comput. Sci. Branch, Nat. Libr. of Med., Bethesda, MD, USA
Volume
2
fYear
2004
fDate
5-7 April 2004
Firstpage
148
Abstract
The National Library of Medicine\´s (NLM) IRVIS project has been evaluating "similarity ranking" algorithms that reorder search results according to their similarity to a target result. Several variations of known ranking algorithms were tested, as well as one (we believe) new one which weights terms based on word length. When the algorithms were evaluated using the OHSUMED test collection, the new word length based algorithm was found to outperform the others.
Keywords
document handling; information retrieval; IRVIS project; National Library of Medicine; OHSUMED test collection; similarity ranking algorithms; word length based algorithm; Biomedical communication; Biomedical measurements; Computer science; Data visualization; Frequency; Information retrieval; Information technology; Libraries; Organizing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN
0-7695-2108-8
Type
conf
DOI
10.1109/ITCC.2004.1286615
Filename
1286615
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