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Paper Abstract and Keywords
Presentation 2013-05-16 13:00
Multi-stage Graph Mining for Novel Item Recommendation
Atsushi Matsui, Taro Miyazaki, Ichiro Yamada, Mahito Fujii, Masahide Naemura (NHK)
Abstract (in Japanese) (See Japanese page) 
(in English) A two-stage graph mining scheme for novel item recommendation is proposed. The first stage extracts preference attribute as a topic-rating vector using a graph mining technique given a data set of item ratings, and the second stage predicts one’s preferred items out of novel domains using another graph mining procedure based on the extracted preference. We compared the prediction performance of four possible implementations using a data set of ratings of TV programs. The data set contains 368,400 ratings, ranging from -2 to +2 (negatives to positives). Each rating was provided by 1,228 subjects against 300 TV programs from the NHK On-Demand service. To describe semantic relationships between the items, we appended 1,000 metadata-nodes to each graph, which are extracted from the outline field of the Electronic Program Guide contents.
Keyword (in Japanese) (See Japanese page) 
(in English) Recommender system / novel item / Random Walk with Restart / metadata / encoding / decoding / /  
Reference Info. ITE Tech. Rep., vol. 37, no. 20, ME2013-61, pp. 1-4, May 2013.
Paper # ME2013-61 
Date of Issue 2013-05-09 (ME, AIT) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee ME AIT  
Conference Date 2013-05-16 - 2013-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Ryukoku University, Kyoto Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medeia for Business Management, Kansei Information, etc. 
Paper Information
Registration To ME 
Conference Code 2013-05-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-stage Graph Mining for Novel Item Recommendation 
Sub Title (in English)  
Keyword(1) Recommender system  
Keyword(2) novel item  
Keyword(3) Random Walk with Restart  
Keyword(4) metadata  
Keyword(5) encoding  
Keyword(6) decoding  
Keyword(7)  
Keyword(8)  
1st Author's Name Atsushi Matsui  
1st Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
2nd Author's Name Taro Miyazaki  
2nd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
3rd Author's Name Ichiro Yamada  
3rd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
4th Author's Name Mahito Fujii  
4th Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
5th Author's Name Masahide Naemura  
5th Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
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Speaker Author-1 
Date Time 2013-05-16 13:00:00 
Presentation Time 30 minutes 
Registration for ME 
Paper # ME2013-61, AIT2013-120 
Volume (vol) vol.37 
Number (no) no.20 
Page pp.1-4 
#Pages
Date of Issue 2013-05-09 (ME, AIT) 


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