A route recommendation method based on personal preferences by monte-carlo tree search

Yuta Ishizaki, Toshinori Takayama, Nozomu Togawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose a route recommendation method, called P-UCT method, considering individual user's preferences utilizing Monte-Carlo tree search. In the proposed method, we firstly extract route features based on the route recommendation history of every user and construct a route evaluator based on Support Vector Machine (SVM). After that, the method generates a random route from a start point to an end point by Monte-Carlo tree search. The route evaluator determines how well every generated route matches the user's preferences. By repeating the evaluation, the method obtains the route, which must be closest to the user's preferences. Experimental results demonstrate that the proposed method outperforms the existing method from the viewpoint of the average evaluation scores.

本文言語English
ホスト出版物のタイトルProceedings - 2019 IEEE 9th International Conference on Consumer Electronics, ICCE-Berlin 2019
編集者Gordan Velikic, Christian Gross
出版社IEEE Computer Society
ページ404-409
ページ数6
ISBN(電子版)9781728127453
DOI
出版ステータスPublished - 2019 9
イベント9th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2019 - Berlin, Germany
継続期間: 2019 9 82019 9 11

出版物シリーズ

名前IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
2019-September
ISSN(印刷版)2166-6814
ISSN(電子版)2166-6822

Conference

Conference9th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2019
国/地域Germany
CityBerlin
Period19/9/819/9/11

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 産業および生産工学
  • メディア記述

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