An evaluation of new and old similarity ranking algorithms

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 whic...

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Bibliographic Details
Main Authors: Lynch, P., Luan, X., Prettyman, M., Mericle, L., Borkmann, E., Schlaifer, J.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical communication
Biomedical measurements
Computer science
Data visualization
Frequency
Information retrieval
Information technology
Libraries
Organizing
Testing
Online Access:Request full text
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Summary: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.
DOI:10.1109/ITCC.2004.1286615