Paper Abstract and Keywords |
Presentation |
2019-07-22 15:55
A Recommendation System using Auto-encoders for Data Divided on Item Densities Go Tanioka, Akihiro Inokuchi (KGU) AI2019-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, deep learning have attracted attention in the field of machine learning, and its applications to the recommendation system dealt with in this study have also been proposed.In this paper, we improve the conventional recommendation system using an Auto-Encoder.In concrete terms, we propose a method for learning with two independent models for dense items and sparse items that constitute input data.We performed comparative experiments with the existing method and proposed method using MovieLens and other datasets to evaluate their superiority. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Recommendation System / AutoEncoder / Deep Learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 139, AI2019-14, pp. 71-75, July 2019. |
Paper # |
AI2019-14 |
Date of Issue |
2019-07-15 (AI) |
ISSN |
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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AI2019-14 |
Conference Information |
Committee |
AI |
Conference Date |
2019-07-22 - 2019-07-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
AI |
Conference Code |
2019-07-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Recommendation System using Auto-encoders for Data Divided on Item Densities |
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Recommendation System |
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AutoEncoder |
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Deep Learning |
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1st Author's Name |
Go Tanioka |
1st Author's Affiliation |
Kwansei Gakuin University (KGU) |
2nd Author's Name |
Akihiro Inokuchi |
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Kwansei Gakuin University (KGU) |
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Speaker |
Author-1 |
Date Time |
2019-07-22 15:55:00 |
Presentation Time |
20 minutes |
Registration for |
AI |
Paper # |
AI2019-14 |
Volume (vol) |
vol.119 |
Number (no) |
no.139 |
Page |
pp.71-75 |
#Pages |
5 |
Date of Issue |
2019-07-15 (AI) |
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