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Conference papers

Tourist Spot Recommendation System with Image Selection Interface

Abstract : Nowadays, we often plan our travels by using tourism-related information abundantly available on the web. However, it is not simple to find useful information for your travel plans from enormous amount of information. This study, therefore, proposes a system that can make recommendations to you based on your preferences without you having to search information. Extracting the preferences of the users will be done simply by having images of their preferences selected by the users from the touristic images. The performance evaluation test on the system was also conducted.
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Submitted on : Thursday, April 19, 2018 - 2:37:33 PM
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Soh Masuko, Hayaki Kawata, Junichi Hoshino, Motoi Okuzono, Masahumi Muta. Tourist Spot Recommendation System with Image Selection Interface. 16th International Conference on Entertainment Computing (ICEC), Sep 2017, Tsukuba City, Japan. pp.419-422, ⟨10.1007/978-3-319-66715-7_53⟩. ⟨hal-01771304⟩



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