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) |
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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) |
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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) |
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Keyword(8) |
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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 |
6 |
Date of Issue |
2016-09-06 (DE) |
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