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Paper Abstract and Keywords
Presentation 2010-03-02 09:00
Page Ranking System Using Bayesian Filter
Masayoshi Niwano, Kenneth James Mackin, Yasuo Nagai (Tokyo Univ. of Info Sci.) AI2009-45
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we proposed Web page ranking system that considers user’s preference information by using the Bayesian filtering. The proposed system automates works to collect necessary pages from a large amount of retrieval results when Web page search engines are used, and has aimed to improve the retrieval efficiency. We implemented and evaluted the Web page ranking system. In the evaluation of the Web page, the interest of the user, whenever the Web pages are searched, is changed and represented as the state of interest, and the user’s preferences on each state of the interest are recorded, and the preferences corresponding to the state of the interest, when the Web pages are searched, are used. The experimental result shows that it is possibile to improve the efficiency of the retrieval when necessary information is collected in trial-error manner by giving the retrieval words incrementally, while enough information cannot be collected. As a result, it is clarified that the Web pages suitable for the user's preference are displayed in the higher-order rank by using the proposed system, and the improvement of the retrieval efficiency can be expected.
Keyword (in Japanese) (See Japanese page) 
(in English) Web / Web Retrival / Bayes / Bayesian Filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 439, AI2009-45, pp. 17-22, March 2010.
Paper # AI2009-45 
Date of Issue 2010-02-22 (AI) 
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 AI2009-45

Conference Information
Committee AI JSAI-KBS JSAI-SAI IPSJ-ICS  
Conference Date 2010-03-01 - 2010-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2010-03-AI-KBS-SAI-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Page Ranking System Using Bayesian Filter 
Sub Title (in English)  
Keyword(1) Web  
Keyword(2) Web Retrival  
Keyword(3) Bayes  
Keyword(4) Bayesian Filter  
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1st Author's Name Masayoshi Niwano  
1st Author's Affiliation Tokyo University of Information Sciences (Tokyo Univ. of Info Sci.)
2nd Author's Name Kenneth James Mackin  
2nd Author's Affiliation Tokyo University of Information Sciences (Tokyo Univ. of Info Sci.)
3rd Author's Name Yasuo Nagai  
3rd Author's Affiliation Tokyo University of Information Sciences (Tokyo Univ. of Info Sci.)
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Speaker Author-1 
Date Time 2010-03-02 09:00:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2009-45 
Volume (vol) vol.109 
Number (no) no.439 
Page pp.17-22 
#Pages 6 
Date of Issue 2010-02-22 (AI) 

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