エビナ　タケシ   EBINA TAKESHI   海老名　剛    所属   明治大学  商学部    職種   専任教授
言語種別	英語
発行・発表の年月	2018/04
形態種別	学術雑誌
査読	査読あり
標題	"Case-Based Decision Model Matches Ideal Point Model: Application to Marketing Decision Support System", Journal of Intelligent Information Systems
執筆形態	共著(筆頭者以外)
掲載誌名	Journal of Intelligent Information Systems
掲載区分	国外
出版社・発行元	Springer
巻・号・頁	50(2),pp.341-362
著者・共著者	Keita Kinjo and Takeshi Ebina
概要	This paper studies the relationship between a case-based decision theory (CBDT) and an ideal point model (IPM). We show a case-based decision model (CBDM) can be transformed into an IPM under some assumptions. This transformation can allow us to visualize the relationship among data and simplify the calculations of distance between one current datum and the ideal point, rather than the distances between data. Our results will assist researchers with their product design analysis and positioning of goods through CBDT, by revealing past dependences or providing a reference point. Furthermore, we use data on the viewing behavior of audiences of TV dramas in Japan and compare the estimation results under the CBDM that corresponds to a standard decision model with similarities and other various similarity functions and without a similarity function. Our empirical analysis shows the CBDM with a similarity function, presented in this study, best fits the data.