Personalized Local Event Search Based on SNS Data Analysis

Abstract

Since the Olympic Games were decided to be held in Tokyo in 2020, the number of foreign tourists visiting the city has been increasing rapidly. Accordingly, tourists have been seeking more sightseeing information. While guidebooks are good for pointing out popular tourist attractions, it is more difficult for tourists to get various types of detailed information that is suitable for each of them. We developed a tourist information distribution system that sends information corresponding to places and times. In addition to information on events that can be taken from existing travel books and the Web, the system enables users to get "event information" that is suitable for each of them in terms of hobbies by acquiring information on a wide variety of large and small events from a social networking service (SNS). In addition, we examined the preferences of foreigners visiting Japan to make the system more user-friendly. By estimating their preferences on the basis of social media streams and considering location information and time information, we aim to distribute event information that tourists can use on the spot at a particular time.