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	2025/12/10
発表テーマ	A Data-Driven Method to Mining and Integrating Subjective Third-Party Fragrance Impressions from User Reviews into Intelligent Database Systems
会議名	The 1st Workshop on New Generation Databases and Data-Empowering Technologies in Big Data Era, in conjunction with IEEE BigData2025
主催者	IEEE
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	マカオ
開催地名	Macau
開催期間	2025/12/08～2025/12/11
発表者・共同発表者	Fumiya Yamaguchi, Mayuko Yokoyama, Asaka Lan Cheng, Da Li, Mayumi Ueda, and Shinsuke Nakajima,
概要	In recent years, numerous websites have emerged providing product reviews. Consumers enhance their under- standing of products by referencing multiple reviews, which serve as a basis for purchase decisions. However, it remains challenging to extract information on evaluation items such as fragrance, which heavily depend on actual sensory experiences. In particular, since hair care products are used daily, it is necessary to consider not only the users’ subjective evaluations but also objective evaluations from the perspective of their surrounding environment. Understanding others’ evaluations of fragrance before purchase is especially difficult. This paper presents a method for developing a scoring system to evaluate the fragrance category and intensity of hair care products based on review analysis.