Paper Abstract and Keywords |
Presentation |
2015-06-23 10:20
Analysis of Travel Behaviors using Nonnegative Multiple Tensor Factorization Yusuke Kumagae, Ryota Imai, Tatsushi Matsubayashi, Yoshihide Sato, Tsutomu Horioka (NTT) IBISML2015-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To have tourists enjoy the sightseeing, it is important for the information provider to grasp the aim of tour and to understand the tendencies of the tourist behaviors and interest. For the recommendation service, the provided information should be distributed the appropriate contents at the appropriate time to the tourists based on her aim and interest. In this research, we analyze the GPS trajectory log and user attributions obtained by the smart-phone application which is available at the Kyushu region. By using Non-negative Multiple Tensor Factorization (NMTF), we factorized the tourist behavior tendencies by the nationality, gender, generation, hours and the users geographic location. As a results, we observed some certain behaviors to the peculiar user's cluster. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Location Based Service / Non-negative Multiple Tensor Factorization / Spatiotemporal Information / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 112, IBISML2015-3, pp. 15-19, June 2015. |
Paper # |
IBISML2015-3 |
Date of Issue |
2015-06-16 (IBISML) |
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 |
IBISML2015-3 |
|