Kansei Modeling of Combinations of Choices and Its Application to an Information Recommendation System

2015 Fiscal Year Final Research Report

• Project/Area Number: 25330327
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Kansei informatics
• Research Institution: Chuo University
• Principal Investigator: Shoji Hiroko 中央大学, 理工学部, 教授 (30286174)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 組合せ / 感性価値 / 情報推薦

Outline of Final Research Achievements

This study has attempted Kansei modeling of combinatorial value of choices. Then,it applied a proposed combinatorial Kansei value model to an information recommendation system that can suggest a preferred combination of choices for the user when they select a combination of several content items.
Specifically, it took song selection as an example to create a Kansei model for combinations of songs, applied the model to build a system that makes a playlist of several songs among many choices, and evaluated how effective the system is.
Furthermore, the study also targeted examples other than music, proposed a generic combinatorial Kansei value model for selecting a preferred combination.

Free Research Field

感性情報学