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| Presentation | 2019-01-22 10:25 Searching the Web for Trivia Inducing Users' Interests by Starting with SNS Trends Junya Matsuda, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.)  IN2018-81 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Trivia are one kind of knowledge about trashy things and trivial things etc., and almost always we do not care whether or not they are useful for us. Contrary to such nature that trivia have, trivia can be utilized as knowledge as well as a communication tool. For example, they are often used as a topic of conversation by people, and moreover as a topic of TV programs etc. However, there is little opportunity for us to learn about trivia in our daily lives, and also there are few people who bother to search for trivia purposely. In addition, there is currently no clear way to search the Web for funny trivia due to the explosively-growing information volume of the Web, although there are countless trivia on the Web. Therefore, we propose a novel way to search the Web for funny trivia that more people are interested in, by using a trend word showing a trend of the world as a starting point of the searching. This paper examines a method to search the Web for various kinds of trivia inducing users' interests, by focusing on SNS trends with high mobility of information. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Trivia Search / SNS / Information Extraction / Web Mining / Machine Learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 408, IN2018-81, pp. 51-56, Jan. 2019. | |
| Paper # | IN2018-81 | |
| Date of Issue | 2019-01-14 (IN) | |
| 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 | IN2018-81 |
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| Conference Information | |
| Committee | IN |
| Conference Date | 2019-01-21 - 2019-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | WINC AICHI |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2019-01-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Searching the Web for Trivia Inducing Users' Interests by Starting with SNS Trends |
| Sub Title (in English) | |
| Keyword(1) | Trivia Search |
| Keyword(2) | SNS |
| Keyword(3) | Information Extraction |
| Keyword(4) | Web Mining |
| Keyword(5) | Machine Learning |
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| Keyword(8) | |
| 1st Author's Name | Junya Matsuda |
| 1st Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 2nd Author's Name | Komei Arasawa |
| 2nd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 3rd Author's Name | Ryohei Watanabe |
| 3rd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 4th Author's Name | Shun Hattori |
| 4th Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2019-01-22 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2018-81 |
| Volume (vol) | vol.118 |
| Number (no) | no.408 |
| Page | pp.51-56 |
| #Pages | 6 |
| Date of Issue | 2019-01-14 (IN) |
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