Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
Web sites which provide homogeneously a location and characteristics of each shop, such as gourmet review sites, have been the mainstream so far. Recently, however, the number of users who use a Social Networking Service (SNS) to post subjective impressions for places and/or spaces without public names is increasing. When viewers of the SNS want to go to these places or spaces, it is not easy to identify there only from the posted words to the SNS from the users. Therefore, this research proposed a system, "Locamo-share," which is equipped with a function to create a personalized map according to the user's context, a function to post information at arbitrary coordinates on a map and/or at the user's current position. These functions realized that the viewers go to the places reflecting the user's subjective impressions and sympathize the user’s impressions.