An algorithm design for a Recommender System based on a Kansei model will be discussed in this project, we called this algorithm as Kansei Recommender System (KRS). The purpose of KRS algorithm is designed to support designers to pre-know the appearance feeling (Kansei) of products from consumers. To complete this algorithm, you need to design algorithm system through three small projects: (1) Extract Kansei factors and evaluation factors from consumers’ shopping items. (2) Determine a Kansei model for KRS algorithm. (3) Making decision by using KRS algorithm. In the end, you need to have a case study for real data analysis.
|Program:||「TEEP@AsiaPlus」Database, Algorithm, Recommender System|
|School:||Feng Chia University|
|Organizer:||Department of Information Engineering and Computer Science|
|Period of Apply:||
|Tuition Fee:||Please contact us!|