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| Presentation | 2018-06-13 14:15 Data Analysis for Market Places by Non-negative Matrix Factorization and MDL Criterion Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.)  IBISML2018-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The rank selection method for non-negative matrix factorization (NMF) based on MDL criterion which was proposed by [Yamauchi et al., 2012], is applied to user action data of market places. Yamauchi et al. proposed an MDL criterion for NMF in their research for detection of cooperative actions of hosts infected with single malware, and successfully applied their NMF with the MDL criterion to real traffic data. In this paper, we apply their method to user action data of hand made market ``minne'' for the purpose of recommendation of items on sale. Minne deals various hand made products, for each of which there are a few identical items. Hence it is expected that usual recommendation method based on such as simple cooperative filters is not effective and that NMF based clustering helps. However, in our trial experiments, we did not find useful clusters for recommendation, but many clusters consists of users who try to make particular items look like more popular than they actually are. Seeing this results, we study the property of such users and develop an engine to detect them. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Non-negative Matrix Factorization / MDL criterion / market place / recommendation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 81, IBISML2018-8, pp. 53-60, June 2018. | |
| Paper # | IBISML2018-8 | |
| Date of Issue | 2018-06-06 (IBISML) | |
| 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) | |
| Download PDF | IBISML2018-8 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-BIO IPSJ-MPS |
| Conference Date | 2018-06-13 - 2018-06-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-06-NC-IBISML-BIO-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Data Analysis for Market Places by Non-negative Matrix Factorization and MDL Criterion |
| Sub Title (in English) | |
| Keyword(1) | Non-negative Matrix Factorization |
| Keyword(2) | MDL criterion |
| Keyword(3) | market place |
| Keyword(4) | recommendation |
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| Keyword(8) | |
| 1st Author's Name | Yosuke Arano |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Yusuke Miyake |
| 2nd Author's Affiliation | GMO Pepabo, Inc. (GMO Pepabo) |
| 3rd Author's Name | Masanori Kawakita |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 4th Author's Name | Jun'ichi Takeuchi |
| 4th Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-06-13 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-8 |
| Volume (vol) | vol.118 |
| Number (no) | no.81 |
| Page | pp.53-60 |
| #Pages | 8 |
| Date of Issue | 2018-06-06 (IBISML) |
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