Dealing with bus delay and user history for personalized transportation recommendation

Hiroyuki Nakamura, Hongliang Zhang, Yuan Gao, He Gao, Akifumi Kiyohiro, Tsunenori Mine

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

A personalized system considering user context and social histories is attractive. We present a personalized transportation system called PATRASH: Personalized Autonomous Transportation recommendation System considering user context and History. PATRASH considers not only users' context and transportation histories, but also real bus delay. The bus delay returned by Bus Delay API (BDAPI) is used for making adjustments of recommended routes. In this paper, we proposes a model for dealing with the bus delay information. We also make confirmation of effectiveness or possibilities of personalized route recommendation based on user context and histories. To this end, we investigated 10 examinees' usage histories of public transportation as a preliminal case study. The preliminal investigation results promise us to predict individual public transportation route.

本文言語英語
ホスト出版物のタイトルProceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
出版社IEEE Computer Society
ページ410-415
ページ数6
ISBN(印刷版)9781479930098
DOI
出版ステータス出版済み - 1 1 2014
イベント2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 - Las Vegas, NV, 米国
継続期間: 3 10 20143 13 2014

出版物シリーズ

名前Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
1

その他

その他2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
国/地域米国
CityLas Vegas, NV
Period3/10/143/13/14

All Science Journal Classification (ASJC) codes

  • 人工知能
  • 計算理論と計算数学

フィンガープリント

「Dealing with bus delay and user history for personalized transportation recommendation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル