An Explanation Method of Unfamiliar Tourist Spots based on Roles of User's Familiar Spots
Kenta Han and Daisuke Kitayama
Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2019, pp.358-362, Hong Kong, 2019年3月, 査読有, 【Best Student Paper Award 】
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概要
Most tourists resort to available information online when planning for leisure travel; however, this recourse often becomes problematic and misleading as tourist of the infor- mation may be directed to unfamiliar areas. On this regard, we proposed a method of explaining unfamiliar spots through the familiar features of spots they have visited. In this paper, at first, we generated the feature vector using user reviews of the tourist spot. Next, we used the relative feature vector compared with already visited spots to extract the role of the tourist spot for the user. Finally, we associated the visited spot with the unfamiliar spot by the similarity of the relative feature vector, and further extracted keywords that explain the relation. Furthermore, we developed a prototype of the system and evaluated the effect of the explanatory information between the familiar and unfamiliar spots. "