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| Presentation | 2012-03-13 13:30 Mobile Application Recommendation Depending on the User's Context Mitsuhiro Matsumoto (Osaka-u), Ryozo Kiyohara (Mitsubishi Electric), Masayuki Numao, Satoshi Kurihara (Osaka-u)  AI2011-46 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, highly-functional mobile devices such as smart phones and car navigation systems are widely used. These are important for our daily life because we use their applications anywhere and anytime. With the variety of applications available on these devices, however, it becomes more difficult to choose an appropriate application. Therefore we need a mechanism that recommends us suitable applications, which should depend on a user's context because he/she uses his/her devices differently in every context. This paper shows that it follows a power law what applications a user executes in daily life, and proposes a novel approach to find context-aware applications in the mobile devices. This approach is based on the TF-IDF({\em term frequency -- inverse document frequency}) , which is used for extracting important keywords in a document. Moreover, we propose an application recommendation mechanism using this approach. Experimental results show that this recommendation mechanism is more effective than the mechanism using Naive Bayes. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | mobile application recommendation / context awareness / TF-IDF / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 474, AI2011-46, pp. 19-24, March 2012. | |
| Paper # | AI2011-46 | |
| Date of Issue | 2012-03-06 (AI) | |
| 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 | AI2011-46 |
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| Conference Information | |
| Committee | AI IPSJ-ICS JSAI-KBS JSAI-SAI JSAI-DOCMAS |
| Conference Date | 2012-03-11 - 2012-03-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Jozankei View Hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Social System and Information Technology |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2012-03-AI-ICS-KBS-SAI-DOCMAS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mobile Application Recommendation Depending on the User's Context |
| Sub Title (in English) | |
| Keyword(1) | mobile application recommendation |
| Keyword(2) | context awareness |
| Keyword(3) | TF-IDF |
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| 1st Author's Name | Mitsuhiro Matsumoto |
| 1st Author's Affiliation | Osaka University (Osaka-u) |
| 2nd Author's Name | Ryozo Kiyohara |
| 2nd Author's Affiliation | Mitsubishi Electric (Mitsubishi Electric) |
| 3rd Author's Name | Masayuki Numao |
| 3rd Author's Affiliation | Osaka University (Osaka-u) |
| 4th Author's Name | Satoshi Kurihara |
| 4th Author's Affiliation | Osaka University (Osaka-u) |
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| Speaker | Author-1 |
| Date Time | 2012-03-13 13:30:00 |
| Presentation Time | 30 minutes |
| Registration for | AI |
| Paper # | AI2011-46 |
| Volume (vol) | vol.111 |
| Number (no) | no.474 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2012-03-06 (AI) |
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