Feng Chia University

「TEEP@AsiaPlus」Database, Algorithm, Recommender System

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
Field:
School: Feng Chia University
Organizer: Department of Information Engineering and Computer Science
Term:
  • Please contact us!
Period of Apply:
  • 2018/01/01 ~ 2018/12/31
  • Please contact us to confirm the period of apply!

Tuition Fee: Please contact us!

Contact Person: Pei-Chun Lin

TEL: peichunpclin@gmail.com

Website of Program:

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Location: Feng Chia University