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Paper Abstract and Keywords
Presentation 2016-08-26 11:00
Improvement of Trust Value Prediction Using Text Mining for Recommender System
Incheon Paik, Tomoya Maemori (UoA)
Abstract (in Japanese) (See Japanese page) 
(in English) Recommender system will help to provide a list of items information that users are interested in. And with growth of social network service on the Internet, not only studies content-based and collaborative filtering, but trust-based recommender systems have been studied actively. In the trust-based recommender systems, important research issue has been to find optimal trust values by a method optimum initial trust value and effective trust updating.
In this paper, we proposed a method to calculate the initial trust value from users comments to product reviews by machine learning technology. In our model, we use trust-based propagation model to calculate initial trust values, and use feedback-method idea to update trust-network. We evaluate performance of recommender system by these methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Recommender System / Trust / Text Mining / Machine Learning / Feedback Trust Value / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 201, SC2016-12, pp. 7-11, Aug. 2016.
Paper # SC2016-12 
Date of Issue 2016-08-19 (SC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SC  
Conference Date 2016-08-26 - 2016-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. B2F Room No.2 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT frontiers forecasted through practice in Service and Cloud Computing, etc 
Paper Information
Registration To SC 
Conference Code 2016-08-SC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Trust Value Prediction Using Text Mining for Recommender System 
Sub Title (in English)  
Keyword(1) Recommender System  
Keyword(2) Trust  
Keyword(3) Text Mining  
Keyword(4) Machine Learning  
Keyword(5) Feedback Trust Value  
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1st Author's Name Incheon Paik  
1st Author's Affiliation University of Aizu (UoA)
2nd Author's Name Tomoya Maemori  
2nd Author's Affiliation University of Aizu (UoA)
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Speaker
Date Time 2016-08-26 11:00:00 
Presentation Time 30 
Registration for SC 
Paper # IEICE-SC2016-12 
Volume (vol) IEICE-116 
Number (no) no.201 
Page pp.7-11 
#Pages IEICE-5 
Date of Issue IEICE-SC-2016-08-19 


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