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Paper Abstract and Keywords
Presentation 2012-08-02 13:30
Information Recommender Based on User's Preference Extracted from Voice Data
Hiroshi Honda, Kosuke Takano (KAIT)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we present a user preference profiling method from speech recognized information for personalized recommendation. Our method mainly consists of two phases: a process of term-weighting based on a user preference profile and a process of noise terms-filtering that are stored in the user preference profile as the result of wrong speech recognition. A user preference profile constructed by our method allows a user to obtain recommended items according to interest of the user. In this study, by means of several experiments using our prototype, we show the feasibility of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) information recommender / voice data / user profile / information browsing behavior / preference / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 172, DE2012-23, pp. 41-46, Aug. 2012.
Paper # DE2012-23 
Date of Issue 2012-07-25 (DE) 

Conference Information
Committee DE  
Conference Date 2012-08-01 - 2012-08-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data Engineering, etc 
Paper Information
Registration To DE 
Conference Code 2012-08-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Information Recommender Based on User's Preference Extracted from Voice Data 
Sub Title (in English)  
Keyword(1) information recommender 
Keyword(2) voice data 
Keyword(3) user profile 
Keyword(4) information browsing behavior 
Keyword(5) preference 
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1st Author's Name Hiroshi Honda  
1st Author's Affiliation Kanagawa Institute of Technology (KAIT)
2nd Author's Name Kosuke Takano  
2nd Author's Affiliation Kanagawa Institute of Technology (KAIT)
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Speaker
Date Time 2012-08-02 13:30:00 
Presentation Time 30 
Registration for DE 
Paper # IEICE-DE2012-23 
Volume (vol) IEICE-112 
Number (no) no.172 
Page pp.41-46 
#Pages IEICE-6 
Date of Issue IEICE-DE-2012-07-25 


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