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Paper Abstract and Keywords
Presentation 2009-05-22 14:20
A Method for Relevance Calculation between Browsed Web Pages toward Personalized Recommendation System
Kosuke Nakao, Tsunenori Mine (Kyushu Univ) AI2009-6
Abstract (in Japanese) (See Japanese page) 
(in English) This thesis proposes ”Relative-Webpage-Recommendation” as a support of browsing. Using this method, user can get webpages that has relevance to browsing one. And we think that this method provides more personalized web browsing. Relevance between webpages is calculated from user’s browsing history. In this thesis, we propose the method for calculating relevance from two elements. One is that user’s browsing history is mappable to forest structure. Another is a hypothesis that there is some co-occurrence between pages which browsed at the same time by tab browser. Additionally, we consider experimental result, and show issue.
Keyword (in Japanese) (See Japanese page) 
(in English) information recommendation / personalization / browsing support / multi agent / co-occurrence between tab / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 51, AI2009-6, pp. 31-36, May 2009.
Paper # AI2009-6 
Date of Issue 2009-05-15 (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 AI2009-6

Conference Information
Committee AI  
Conference Date 2009-05-22 - 2009-05-22 
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 2009-05-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Relevance Calculation between Browsed Web Pages toward Personalized Recommendation System 
Sub Title (in English)  
Keyword(1) information recommendation  
Keyword(2) personalization  
Keyword(3) browsing support  
Keyword(4) multi agent  
Keyword(5) co-occurrence between tab  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kosuke Nakao  
1st Author's Affiliation Kyushu University (Kyushu Univ)
2nd Author's Name Tsunenori Mine  
2nd Author's Affiliation Kyushu University (Kyushu Univ)
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Speaker Author-1 
Date Time 2009-05-22 14:20:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2009-6 
Volume (vol) vol.109 
Number (no) no.51 
Page pp.31-36 
#Pages 6 
Date of Issue 2009-05-15 (AI) 

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