International Journal of Computational Intelligence Research
  • Year: 2010
  • Volume: 6
  • Issue: 2

Introducting Emotional Factors in Recommender System in the Domain of Higher Education

  • Author:
  • K. Satyanarayana1, S.P. Rajagopalan2
  • Total Page Count: 11
  • Page Number: 203 to 213

1Dr. MGR University, Chennai E-mail: ks62@rediffmail.com,www.tsncollege.org

2Dr. MGR University, Chennai

Abstract

Recommender systems are tools with the purpose to provide people with recommendations of items they might be interested in. Today students need more skills with regard to learning, and that graduates require improved skills to function effectively in the workplace. Emotional intelligence (EQ) covers a range of skills, including self-awareness, self-regulation, motivation, empathy and social skills. EQ also makes a considerable impact on communication skills, including that from an intercultural aspect, as well as on the learning abilities of students. Here we want to introduce the subjective, objective and emotional factors in recommender system that recommends the higher educational institutions.

Keywords

Recommender Systems, Emotional intelligence, User Model, Personality factors