期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：358-362
出版社：Newswood and International Association of Engineers
摘要：Most tourists resort to available information online
when planning for leisure travel; however, this recourse often
becomes problematic and misleading as tourist of the information
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.
