Kansei Modeling of Combinations of Choices and Its Application to an Information Recommendation System
| 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
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| 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.
|
Report
(4 results)
Research Products
(11 results)
