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Paper Abstract and Keywords
Presentation 2016-09-13 17:10
Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Daichi Minami, Taketoshi Ushiama (Kyushu Univ.) DE2016-17
Abstract (in Japanese) (See Japanese page) 
(in English) Today, it has become difficult for people to find books that fulfill their preference because the number of books in the world has become very large.
In order to select books to read, the reviews on candidate books are helpful. Therefore, the role of online review sites which are web sites storing reviews of books is important.
One of the functions in the online review sites is the collaborative filtering (CF) with reviewers.
In general, the user-based CF is based on the assumption that the preferences of users who select the same items will be similar.
However, in many cases, each user would have different viewpoints for their evaluation of books.
In this paper, we focused on the difference of viewpoints when each user evaluate a book. We propose a CF method based on the empathy with other reviewers. Our method utilizes the evaluation for a review as feedback.
Experimental results show the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Book recommend / Review analysis / Topic extraction / LDA / Relevance Feedback / Collaborative Filtering / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 214, DE2016-17, pp. 31-36, Sept. 2016.
Paper # DE2016-17 
Date of Issue 2016-09-06 (DE) 
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 DE2016-17

Conference Information
Committee DE  
Conference Date 2016-09-13 - 2016-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. (Hiyoshi Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data Management, Information Retrieval, Knowledge Discovery, etc. 
Paper Information
Registration To DE 
Conference Code 2016-09-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers 
Sub Title (in English)  
Keyword(1) Book recommend  
Keyword(2) Review analysis  
Keyword(3) Topic extraction  
Keyword(4) LDA  
Keyword(5) Relevance Feedback  
Keyword(6) Collaborative Filtering  
Keyword(7)  
Keyword(8)  
1st Author's Name Daichi Minami  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Taketoshi Ushiama  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2016-09-13 17:10:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2016-17 
Volume (vol) vol.116 
Number (no) no.214 
Page pp.31-36 
#Pages
Date of Issue 2016-09-06 (DE) 


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