Context-Oriented Tour Planning System in Physical and Emotional Distance

Kaito Kikuhara, Yasushi Kiyoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In tourism, finding the optimal place and route is necessary and essential according to emotional aspect and physical distance. Our proposed novel distance system which is the physical and emotional distance offers the physical and emotional solution to overcome the optimal selection problem. We demonstrate a route planning system that responds to the user's emotional and locational context using the novel distance. This distance can find the optimal place and path to match the user's emotion and location. And we develop a tour-semantic space, which is a semantic space that characterises tourist places, and we measure the novel distance as a relation of user context. Tour-Semantic Space is created using colour information of tourist place photos, genre, words of review and location information as metadata of tourist place. And we were mapping words and place data representing emotions to the tour-semantic space Thereby realising semantic search and integration according to the user's context. The feature of this research is that tourist place recommendation and path search can be performed according to a user's context by taking physical distance and emotional distance into consideration. For example, a tourist place is recommended to the user even when the physical distance between place and the user is long because the emotional distance between the place's characteristic and the user's felling is short. Our experimental results suggest retrieving a place and creating a plan according to the user's context, which consists of emotional aspects and physical location. We aim to develop a system that mimics a person's behaviour, such as people selecting a tourist place themselves considering emotional aspects and physical distances.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXXI
編集者Ajantha Dahanayake, Janne Huiskonen, Yasushi Kiyoki, Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida
出版社IOS Press
ページ519-530
ページ数12
ISBN(電子版)9781643680446
DOI
出版ステータスPublished - 2019 12月 13
イベント29th International Conference on Information Modeling and Knowledge Bases, EJC 2019 - Lappeenranta, Finland
継続期間: 2019 6月 32019 6月 7

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
321
ISSN(印刷版)0922-6389

Conference

Conference29th International Conference on Information Modeling and Knowledge Bases, EJC 2019
国/地域Finland
CityLappeenranta
Period19/6/319/6/7

ASJC Scopus subject areas

  • 人工知能

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