Paper Info
Title
Xnavi: Travel Planning System Based on Experience Flows
Abstract
Though an increasing number of people is now involved in travel planning owing to the spread of the internet, it is still difficult for travelers to plan trips on their own. It is especially difficult for tourists using automobiles because they have several choices of accessible places. To make itineraries easily, travelers require a travel planning system that suggests two types of experiences: experiences characterizing the travel area and experiences stemming from a flow between the former experiences. Existing systems do not list specific spontaneous experiences of interest to travelers. In response, Xnavi, a travel planning system for drivers based on experience flows, is proposed, which provides these types of experiences. To recommend experience flows, Xnavi extracts experience keywords related to the travel area using natural language processing based on the TF-IDF method and also extracts flows of tourist attractions' attributes based on association analysis of driving histories. Trials of the proposed method and a user study were conducted. The results show that Xnavi is effective at suggesting experiences and satisfying tourists with their plans.
Year
DOI
Venue
2018
10.1145/3191759
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Keywords
DocType
Volume
Travel planning,UI,association analysis,automobile,driving histories,experience flows
Journal
2
Issue
ISSN
Citations 
1
2474-9567
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Masato Nomiyama100.68
Toshiki Takeuchi23611.97
Hiroyuki Onimaru301.35
Tanikawa, T.460695.07
Narumi, T.549984.53
M Hirose61341224.70