Presentation | 2013-11-29 PATRASH : Personalized Autonomous TRAnsportation recommendation System considering user context and social History Hiroyuki NAKAMURA, YUAN Gao, HE Gao, Akifumi KIYOHIRO, Tsunenori MINE, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Now, we are working on developing a transfer system which is based on information of user's position and so on to find out the best route so that users can get transfer information easily. The information include now time,user's position and bus stop/station position.Further, this system also provide information of delay,the bus is full or empty.The situation is calculate by the position of the bus and the time table.The system will give the transfer information with result of the calculation and give the best choice when users open up the App.And more,the system considered the user's using history,so the user can get information with the least operation. For this purpose, the system will determine if the user is using the routine route or not.This paper describes the verification of accuracy and the algorithm of this transfer system which considering the delay information.This paper also talks about by accumulating data of user's history, how did we determine if the user is using the routine route or not and the verification of accuracy is worth to looking forward. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Transit Recommendation / Public Transportation Time Table / Personalized Recommendation / User Context, Mobile |
Paper # | AI2013-27 |
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Conference Information | |
Committee | AI |
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Conference Date | 2013/11/21(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | PATRASH : Personalized Autonomous TRAnsportation recommendation System considering user context and social History |
Sub Title (in English) | |
Keyword(1) | Transit Recommendation |
Keyword(2) | Public Transportation Time Table |
Keyword(3) | Personalized Recommendation |
Keyword(4) | User Context, Mobile |
1st Author's Name | Hiroyuki NAKAMURA |
1st Author's Affiliation | Dept. of Advanced Information Technology, Graduate School of ISEE, Kyushu University() |
2nd Author's Name | YUAN Gao |
2nd Author's Affiliation | Dept. of Advanced Information Technology, Graduate School of ISEE, Kyushu University |
3rd Author's Name | HE Gao |
3rd Author's Affiliation | Dept. of Advanced Information Technology, Graduate School of ISEE, Kyushu University |
4th Author's Name | Akifumi KIYOHIRO |
4th Author's Affiliation | Dept. of Computer Science and Electrical Engineering, School of Engineering, Kyushu University |
5th Author's Name | Tsunenori MINE |
5th Author's Affiliation | Dept. of Advanced Information Technology, Graduate School of ISEE, Kyushu University:Dept. of Advanced Information Technology, Faculty of ISEE, Kyushu University |
Date | 2013-11-29 |
Paper # | AI2013-27 |
Volume (vol) | vol.113 |
Number (no) | 332 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |