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| Paper Abstract and Keywords | ||
| Presentation | 2018-03-08 10:20 Document Recommendation Method based on the Content of Enterprise Documents for OSS Screen Yuki Urabe, Shiro Ogasawara, Kentaro Hotta, Akira Inoue (NTT)  ICM2017-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Many enterprise documents such as manuals are stored in a company. Data entry personnel is required to refer to relevant documents to prevent errors and to finish their tasks efficiently. However, it is difficult to search for documents that correspond to their situations on the OSS. In this paper, we describe how the existing methods TF-IDF and Doc2Vec can be effectively applied to recommending documents corresponding to the situation extracted from the OSS. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | enterprise document / OSS / recommendation technology / natural language processing / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 491, ICM2017-59, pp. 25-30, March 2018. | |
| Paper # | ICM2017-59 | |
| Date of Issue | 2018-03-01 (ICM) | |
| 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 | ICM2017-59 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2018-03-08 - 2018-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2018-03-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Document Recommendation Method based on the Content of Enterprise Documents for OSS Screen |
| Sub Title (in English) | |
| Keyword(1) | enterprise document |
| Keyword(2) | OSS |
| Keyword(3) | recommendation technology |
| Keyword(4) | natural language processing |
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| 1st Author's Name | Yuki Urabe |
| 1st Author's Affiliation | NTT Access Network Service Systems Laboratories, NTT Corporation (NTT) |
| 2nd Author's Name | Shiro Ogasawara |
| 2nd Author's Affiliation | NTT Access Network Service Systems Laboratories, NTT Corporation (NTT) |
| 3rd Author's Name | Kentaro Hotta |
| 3rd Author's Affiliation | NTT Access Network Service Systems Laboratories, NTT Corporation (NTT) |
| 4th Author's Name | Akira Inoue |
| 4th Author's Affiliation | NTT Access Network Service Systems Laboratories, NTT Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2018-03-08 10:20:00 |
| Presentation Time | 20 minutes |
| Registration for | ICM |
| Paper # | ICM2017-59 |
| Volume (vol) | vol.117 |
| Number (no) | no.491 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2018-03-01 (ICM) |
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