Personalized recommendation for public transportation using user context

Hiroyuki Nakamura, Shiro Mise, Tsunenori Mine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a new application of public transit guide system named PATRASH (Personalized Autonomous TRAansit recommendation System considering user context and History). Although existing transit guide systems provide a lot of functions, their users can not always use all the functions under their control because of the complexity of the functions. Under this situation, we developed and supply PATRASH to reduce complicated user operations. PATRASH provides simple functions users can easily use. The concept of PATRASH is "First Show, Second Search." PATRASH displays routes and time table information recommended to the users. If they need, they can search another route. The target users of PATRASH are transit riders who come to Ito campus of Kyushu university. Ito campus locates in a rural area and has four routes run by three bus transportation companies and connected to a railroad or a subway. Since the main route usually used by each transit rider seems to be almost determined, we believe personalized function of PATRASH becomes more and more important. To realize the concept of PATRASH and give simple usability to the users, we propose a new 3D adaptive interface and release PATRASH to the public. We also present a preliminal case study of PATRASH project.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-229
Number of pages6
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - Aug 31 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: Jul 10 2016Jul 14 2016

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period7/10/167/14/16

Fingerprint

Bus transportation
Subways
Recommender systems
Railroads
Display devices
Industry

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Nakamura, H., Mise, S., & Mine, T. (2016). Personalized recommendation for public transportation using user context. In A. Hiramatsu, T. Matsuo, A. Kanzaki, & N. Komoda (Eds.), Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 224-229). [7557607] (Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.204

Personalized recommendation for public transportation using user context. / Nakamura, Hiroyuki; Mise, Shiro; Mine, Tsunenori.

Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. ed. / Ayako Hiramatsu; Tokuro Matsuo; Akimitsu Kanzaki; Norihisa Komoda. Institute of Electrical and Electronics Engineers Inc., 2016. p. 224-229 7557607 (Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakamura, H, Mise, S & Mine, T 2016, Personalized recommendation for public transportation using user context. in A Hiramatsu, T Matsuo, A Kanzaki & N Komoda (eds), Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557607, Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 224-229, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 7/10/16. https://doi.org/10.1109/IIAI-AAI.2016.204
Nakamura H, Mise S, Mine T. Personalized recommendation for public transportation using user context. In Hiramatsu A, Matsuo T, Kanzaki A, Komoda N, editors, Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 224-229. 7557607. (Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016). https://doi.org/10.1109/IIAI-AAI.2016.204
Nakamura, Hiroyuki ; Mise, Shiro ; Mine, Tsunenori. / Personalized recommendation for public transportation using user context. Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. editor / Ayako Hiramatsu ; Tokuro Matsuo ; Akimitsu Kanzaki ; Norihisa Komoda. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 224-229 (Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016).
@inproceedings{926ec00ee9134740af4557ce2313fedc,
title = "Personalized recommendation for public transportation using user context",
abstract = "This paper presents a new application of public transit guide system named PATRASH (Personalized Autonomous TRAansit recommendation System considering user context and History). Although existing transit guide systems provide a lot of functions, their users can not always use all the functions under their control because of the complexity of the functions. Under this situation, we developed and supply PATRASH to reduce complicated user operations. PATRASH provides simple functions users can easily use. The concept of PATRASH is {"}First Show, Second Search.{"} PATRASH displays routes and time table information recommended to the users. If they need, they can search another route. The target users of PATRASH are transit riders who come to Ito campus of Kyushu university. Ito campus locates in a rural area and has four routes run by three bus transportation companies and connected to a railroad or a subway. Since the main route usually used by each transit rider seems to be almost determined, we believe personalized function of PATRASH becomes more and more important. To realize the concept of PATRASH and give simple usability to the users, we propose a new 3D adaptive interface and release PATRASH to the public. We also present a preliminal case study of PATRASH project.",
author = "Hiroyuki Nakamura and Shiro Mise and Tsunenori Mine",
year = "2016",
month = "8",
day = "31",
doi = "10.1109/IIAI-AAI.2016.204",
language = "English",
series = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "224--229",
editor = "Ayako Hiramatsu and Tokuro Matsuo and Akimitsu Kanzaki and Norihisa Komoda",
booktitle = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
address = "United States",

}

TY - GEN

T1 - Personalized recommendation for public transportation using user context

AU - Nakamura, Hiroyuki

AU - Mise, Shiro

AU - Mine, Tsunenori

PY - 2016/8/31

Y1 - 2016/8/31

N2 - This paper presents a new application of public transit guide system named PATRASH (Personalized Autonomous TRAansit recommendation System considering user context and History). Although existing transit guide systems provide a lot of functions, their users can not always use all the functions under their control because of the complexity of the functions. Under this situation, we developed and supply PATRASH to reduce complicated user operations. PATRASH provides simple functions users can easily use. The concept of PATRASH is "First Show, Second Search." PATRASH displays routes and time table information recommended to the users. If they need, they can search another route. The target users of PATRASH are transit riders who come to Ito campus of Kyushu university. Ito campus locates in a rural area and has four routes run by three bus transportation companies and connected to a railroad or a subway. Since the main route usually used by each transit rider seems to be almost determined, we believe personalized function of PATRASH becomes more and more important. To realize the concept of PATRASH and give simple usability to the users, we propose a new 3D adaptive interface and release PATRASH to the public. We also present a preliminal case study of PATRASH project.

AB - This paper presents a new application of public transit guide system named PATRASH (Personalized Autonomous TRAansit recommendation System considering user context and History). Although existing transit guide systems provide a lot of functions, their users can not always use all the functions under their control because of the complexity of the functions. Under this situation, we developed and supply PATRASH to reduce complicated user operations. PATRASH provides simple functions users can easily use. The concept of PATRASH is "First Show, Second Search." PATRASH displays routes and time table information recommended to the users. If they need, they can search another route. The target users of PATRASH are transit riders who come to Ito campus of Kyushu university. Ito campus locates in a rural area and has four routes run by three bus transportation companies and connected to a railroad or a subway. Since the main route usually used by each transit rider seems to be almost determined, we believe personalized function of PATRASH becomes more and more important. To realize the concept of PATRASH and give simple usability to the users, we propose a new 3D adaptive interface and release PATRASH to the public. We also present a preliminal case study of PATRASH project.

UR - http://www.scopus.com/inward/record.url?scp=84988842367&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84988842367&partnerID=8YFLogxK

U2 - 10.1109/IIAI-AAI.2016.204

DO - 10.1109/IIAI-AAI.2016.204

M3 - Conference contribution

AN - SCOPUS:84988842367

T3 - Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

SP - 224

EP - 229

BT - Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

A2 - Hiramatsu, Ayako

A2 - Matsuo, Tokuro

A2 - Kanzaki, Akimitsu

A2 - Komoda, Norihisa

PB - Institute of Electrical and Electronics Engineers Inc.

ER -