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International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2
Las Vegas, Nevada
April 05-April 07
ISBN: 0-7695-2108-8
ASCII Text
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Paul Lynch, Xiaocheng Luan, Maureen Prettyman, Lee Mericle, Edward Borkmann, Jonathan Schlaifer, "An Evaluation of New and Old Similarity Ranking Algorithms," Information Technology: Coding and Computing, International Conference on, vol. 2, pp. 148, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ITCC.2004.1286615,
author = {Paul Lynch and Xiaocheng Luan and Maureen Prettyman and Lee Mericle and Edward Borkmann and Jonathan Schlaifer},
title = {An Evaluation of New and Old Similarity Ranking Algorithms},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {2},
year = {2004},
isbn = {0-7695-2108-8},
pages = {148},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286615},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - An Evaluation of New and Old Similarity Ranking Algorithms
SN - 0-7695-2108-8
SP
EP
A1 - Paul Lynch,
A1 - Xiaocheng Luan,
A1 - Maureen Prettyman,
A1 - Lee Mericle,
A1 - Edward Borkmann,
A1 - Jonathan Schlaifer,
PY - 2004
KW - null
VL - 2
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Paul Lynch, U. S. National Library of Medicine
Xiaocheng Luan, U. S. National Library of Medicine
Maureen Prettyman, U. S. National Library of Medicine
Lee Mericle, U. S. National Library of Medicine
Edward Borkmann, U. S. National Library of Medicine
Jonathan Schlaifer, U. S. National Library of Medicine
The National Library of Medicine's (NLM) IRVIS project has been evaluating "similarity ranking" algorithms that re-order 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.
Citation:
Paul Lynch, Xiaocheng Luan, Maureen Prettyman, Lee Mericle, Edward Borkmann, Jonathan Schlaifer, "An Evaluation of New and Old Similarity Ranking Algorithms," itcc, vol. 2, pp.148, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004
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