| Presentation | 2012-03-13 Mobile Application Recommendation Depending on the User's Context Mitsuhiro MATSUMOTO, Ryozo KIYOHARA, Masayuki NUMAO, Satoshi KURIHARA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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(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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mobile application recommendation / context awareness / TF-IDF |
| Paper # | AI2011-46 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2012/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| 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 |
| 1st Author's Name | Mitsuhiro MATSUMOTO |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Osaka University() |
| 2nd Author's Name | Ryozo KIYOHARA |
| 2nd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation |
| 3rd Author's Name | Masayuki NUMAO |
| 3rd Author's Affiliation | Department of Knowledge Systems, The Institute of Scientific and Industrial Research, Osaka Univ. |
| 4th Author's Name | Satoshi KURIHARA |
| 4th Author's Affiliation | Department of Knowledge Systems, The Institute of Scientific and Industrial Research, Osaka Univ.:JST CREST |
| Date | 2012-03-13 |
| Paper # | AI2011-46 |
| Volume (vol) | vol.111 |
| Number (no) | 474 |
| Page | pp.pp.- |
| #Pages | 6 |
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