Adaptive user interface agent for personalized public transportation recommendation system: PATRASH

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

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

4 Citations (Scopus)

Abstract

Public transportation guidance services, which are widely used nowadays, support our daily lives. However they have not fully been personalized yet. Regarding personalized services, an adaptive user interface plays a crucial role. This paper presents an Adaptive User Interface (AUI) agent of our personalized transportation recommendation system called PATRASH. To design and implement the agent, first, we collected and analyzed public transportation usage histories of 10 subjects so as to confirm the possibilities and effectiveness of the personalized route recommendation function. Then we propose a method to deal with user histories and evaluate the effectiveness of the proposed method based on click costs, comparing with two major transportation guidance systems in Japan. We also propose a decision-tree-based route recommendation method. The experimental results illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationPRIMA 2014
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 17th International Conference, Proceedings
EditorsYang Xu, Jeremy Pitt, Hoa Khanh Dam, Guido Governatori, Takayuki Ito
PublisherSpringer Verlag
Pages238-245
Number of pages8
ISBN (Electronic)9783319131900
Publication statusPublished - Jan 1 2014
Event17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014 - Gold Coast, Australia
Duration: Dec 1 2014Dec 5 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8861
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014
CountryAustralia
CityGold Coast
Period12/1/1412/5/14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Nakamura, H., Gao, Y., Gao, H., Zhang, H., Kiyohiro, A., & Mine, T. (2014). Adaptive user interface agent for personalized public transportation recommendation system: PATRASH. In Y. Xu, J. Pitt, H. K. Dam, G. Governatori, & T. Ito (Eds.), PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings (pp. 238-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8861). Springer Verlag.