ウエダ　マユミ   Ueda Mayumi   上田　真由美    所属   追手門学院大学  経営学部 経営学科    職種   教授
発表年月日	2025/10/18
発表テーマ	Leveraging Comment Data for Enhanced Content Discovery through Time Series Analysis of Impressive Scenes in Videos.
会議名	The 12th International Conference on Behavioural and Social Computing (BESC2025)
主催者	BESC
学会区分	国際学会
発表形式	口頭（一般）
単独共同区分	共同
国名	香港
開催地名	Hong Kong
開催期間	2025/10/16～2025/10/18
発表者・共同発表者	Akito Sasahara,Lan Cheng, Da Li, Fumiya Yamaguchi, Mayumi Ueda, Nakajima Shinsuke
概要	In recent years, a vast number of videos have been uploaded to video-sharing sites. Many users select videos to watch based on titles and thumbnails. However, with the currently available information, it is difficult for them to determine if a video is what they are truly seeking until they actually start watching it. Therefore, we have been developing an intuitive video recommender system that calculates scores for distinct evaluation items based on the "impressions users intuitively feel when watching videos."