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| Presentation | 2020-01-23 14:40 e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style Naoki Kawamura, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.)  IN2019-67 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For traveling and sightseeing, many people often use travel review sites and travel information magazines. Some travel review sites allow users to browse sightseeing spots and food of a target place depending on travel styles such as "alone," "friend," "family," and "couple." Some users try to utilize such a function while planning their travel and/or stopping over at somewhere (not a planed place) in their travel. However, the function of search per travel style of the existing travel review sites is not enough useful when a traveler searches for sightseeing spots and restaurants by querying a target place and adding "friend" as a travel style condition, because the search results for some places are not helpful for her/him due to lack of reviews. Therefore, this paper aims at developing an automatical travel support site generation system that extracts place-specific spots and offers users with the ranking of them per travel style, by exhaustively collecting place-specific reviews from many travel review sites and analyzing them classified per travel style. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Travel Support / Text Classification / Information Extraction / Web Mining / Machine Learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 384, IN2019-67, pp. 13-18, Jan. 2020. | |
| Paper # | IN2019-67 | |
| Date of Issue | 2020-01-16 (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 | IN2019-67 |
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| Conference Information | |
| Committee | IN |
| Conference Date | 2020-01-23 - 2020-01-24 |
| 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 | 2020-01-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style |
| Sub Title (in English) | |
| Keyword(1) | Travel Support |
| Keyword(2) | Text Classification |
| Keyword(3) | Information Extraction |
| Keyword(4) | Web Mining |
| Keyword(5) | Machine Learning |
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| Keyword(8) | |
| 1st Author's Name | Naoki Kawamura |
| 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 | Shun Hattori |
| 3rd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2020-01-23 14:40:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2019-67 |
| Volume (vol) | vol.119 |
| Number (no) | no.384 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2020-01-16 (IN) |
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