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Paper Abstract and Keywords
Presentation 2009-12-11 14:35
Proposal and evaluation of prediction method for readability of Web articles with Self-Organizing Maps
Chihiro Ariga, Kazuhiro Notomi (Kanagawa Institute of Technology), Keiichi Saito (Tokyo Denki Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, we proposed and evaluated a prediction method for readability of Web articles with Self-Organizing Maps (SOM). We focused only on number of characters per line and line-feed-width among web contents for web readability. And we experimented about web readability with paired comparison method. We generated SOM maps from paired comparison scores, then we calculated concordance rates of prediction data for web readability. As a result, we confirmed that in a certain range, appropriate number of characters-per-line is 32 and line-feed-width is 1.5 times.
Keyword (in Japanese) (See Japanese page) 
(in English) Web Accessibility / Character recognition / Paired comparison / Readability / Self-Organizing Maps / / /  
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Conference Information
Committee HIP HCS MVE WIT  
Conference Date 2009-12-10 - 2009-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Sappolo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human Communication Group Symposium 
Paper Information
Registration To HIP 
Conference Code 2009-12-HIP-HCS-MVE-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and evaluation of prediction method for readability of Web articles with Self-Organizing Maps 
Sub Title (in English)  
Keyword(1) Web Accessibility  
Keyword(2) Character recognition  
Keyword(3) Paired comparison  
Keyword(4) Readability  
Keyword(5) Self-Organizing Maps  
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1st Author's Name Chihiro Ariga  
1st Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
2nd Author's Name Kazuhiro Notomi  
2nd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
3rd Author's Name Keiichi Saito  
3rd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ)
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Speaker Author-1 
Date Time 2009-12-11 14:35:00 
Presentation Time 25 minutes 
Registration for HIP 
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