[1I4-GS-4c] Webインテリジェンス：SNS

[1I4-GS-4c-05] A system for exploratory search of virtual YouTubers using SNS data

〇Taichi Takeda¹, Masahiro Hamasaki² (1. University of Tsukuba, 2. National Institute of Advanced Industrial Science and Technology (AIST))

Keywords:social network, exploratory search, virtual youtuber, recommender system, keyword extraction

Virtual YouTuber (VTuber), the virtual characters of video contributors, are becoming more and more common. As of November 2020, there are more than 13,000 VTubers, and their activities are attracting attention from many fields talents as celebrities and creators. However, due to their various characters and their diverse themes of the videos they post, it is difficult to grasp the present situation of the activities of VTubers. In this paper, we propose a VTuber search support system. This system consists of a search function for VTubers and a page displaying information about VTubers. The search function allows you to search for VTubers by either their names or keywords that describe their activities. On the VTuber page, you can search for VTubers by using related keywords and VTuber information. This system has made it possible to actively explore VTubers and deepen our understanding of them.