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) SC2016-12 |
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 user’s 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 |
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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SC2016-12 |
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) |
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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 |
Author-1 |
Date Time |
2016-08-26 11:00:00 |
Presentation Time |
30 minutes |
Registration for |
SC |
Paper # |
SC2016-12 |
Volume (vol) |
vol.116 |
Number (no) |
no.201 |
Page |
pp.7-11 |
#Pages |
5 |
Date of Issue |
2016-08-19 (SC) |
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