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Paper Abstract and Keywords
Presentation 2010-05-20 11:00
Query Reformulation Type Classification using Query Log
Jennifer Pidgeon, Yuichiro Sekiguchi, Tomohiro Tanaka, Tadasu Uchiyama (NTT), Shigeru Fujimura, Takayoshi Mochizuki, Tomoya Suzuki (NTT Resonant) LOIS2010-2
Abstract (in Japanese) (See Japanese page) 
(in English) Most web search engines today recommend more specific queries to users based on their current query. We think important query search information can come from looking at previous queries and seeing how the user reformulates their next query to find the results they are looking for. Our work aims to predict one of five given reformulation types between sequential query pairs. We use a support vector machine algorithm which utilizes features that analyze each query and the correlation between previous and post queries. In addition, we add characteristic classifiers which focus on only two reformulation types and finding distinct differences between them to aid the SVM algorithm predictions. Using both of these methods together produces 83% precision. The ability to predict the type of query a user will input next based on their searching history will lead the way for better query recommendation in web search engines.
Keyword (in Japanese) (See Japanese page) 
(in English) Query Classification / Query Log / Web Search / Data Mining / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 42, LOIS2010-2, pp. 7-12, May 2010.
Paper # LOIS2010-2 
Date of Issue 2010-05-13 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2010-2

Conference Information
Committee LOIS IPSJ-CN  
Conference Date 2010-05-20 - 2010-05-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) LifeLogs, GroupWare&Network, etc. 
Paper Information
Registration To LOIS 
Conference Code 2010-05-LOIS-GN 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Query Reformulation Type Classification using Query Log 
Sub Title (in English)  
Keyword(1) Query Classification  
Keyword(2) Query Log  
Keyword(3) Web Search  
Keyword(4) Data Mining  
Keyword(5)  
Keyword(6)  
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1st Author's Name Jennifer Pidgeon  
1st Author's Affiliation NTT Corporation NTT Cyber Soltions Laboratories (NTT)
2nd Author's Name Yuichiro Sekiguchi  
2nd Author's Affiliation NTT Corporation NTT Cyber Soltions Laboratories (NTT)
3rd Author's Name Tomohiro Tanaka  
3rd Author's Affiliation NTT Corporation NTT Cyber Soltions Laboratories (NTT)
4th Author's Name Tadasu Uchiyama  
4th Author's Affiliation NTT Corporation NTT Cyber Soltions Laboratories (NTT)
5th Author's Name Shigeru Fujimura  
5th Author's Affiliation NTT Resonant Inc (NTT Resonant)
6th Author's Name Takayoshi Mochizuki  
6th Author's Affiliation NTT Resonant Inc (NTT Resonant)
7th Author's Name Tomoya Suzuki  
7th Author's Affiliation NTT Resonant Inc (NTT Resonant)
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Speaker Author-1 
Date Time 2010-05-20 11:00:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # LOIS2010-2 
Volume (vol) vol.110 
Number (no) no.42 
Page pp.7-12 
#Pages 6 
Date of Issue 2010-05-13 (LOIS) 

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