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Paper Abstract and Keywords
Presentation 2007-07-02 14:20
Discovering Typical Queries for Web Pages
Yutaka Kabutoya (Kyoto Univ.), Takayuki Yumoto (Univ. of Hyogo), Satoshi Oyama, Katsumi Tanaka (Kyoto Univ.) DE2007-30
Abstract (in Japanese) (See Japanese page) 
(in English) Nowadays many users use search engines to find and browse a desirable Web page. Those queries to reach a given page concisely describe the needs of users (contents consumers) existing potentially for the page. Therefore, finding ``typical queries'' for a given Web page will be useful to discover the interests of Web users to the page, and will be moreover, useful for the author to improve its content. In this paper, we define the most ``typical query'' q for a given page p as the most frequent query by which consumers reach the page p through a Web search engine, and visit the page p. In our research, candidates for the typical query is assumed order to find the "typical queries" for a given Web page, we need actual query frequency information, and so we use queries owned by a search engine. The probability of actually visiting the page p after finding the page p by the query q is calculated from the rank of p in executing q to a Web search engine.
Keyword (in Japanese) (See Japanese page) 
(in English) typical query / query log / ranking / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 131, DE2007-30, pp. 49-54, July 2007.
Paper # DE2007-30 
Date of Issue 2007-06-25 (DE) 
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 DE2007-30

Conference Information
Committee DE  
Conference Date 2007-07-02 - 2007-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Akiu hot springs (Sendai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Summer Database Workshop 2007 (Data engineering, etc.) 
Paper Information
Registration To DE 
Conference Code 2007-07-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Discovering Typical Queries for Web Pages 
Sub Title (in English)  
Keyword(1) typical query  
Keyword(2) query log  
Keyword(3) ranking  
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1st Author's Name Yutaka Kabutoya  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Takayuki Yumoto  
2nd Author's Affiliation University of Hyogo (Univ. of Hyogo)
3rd Author's Name Satoshi Oyama  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Katsumi Tanaka  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2007-07-02 14:20:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2007-30 
Volume (vol) vol.107 
Number (no) no.131 
Page pp.49-54 
#Pages 6 
Date of Issue 2007-06-25 (DE) 

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