Learning User Profile with Genetic Algorithm in AmI Applications

  • Authors:
  • Verónica Venturini;Javier Carbó;José M. Molina

  • Affiliations:
  • Group of Applied Artificial Intelligence (GIAA) Computer Science Department, Carlos III University of Madrid, Colmenarejo, Spain;Group of Applied Artificial Intelligence (GIAA) Computer Science Department, Carlos III University of Madrid, Colmenarejo, Spain;Group of Applied Artificial Intelligence (GIAA) Computer Science Department, Carlos III University of Madrid, Colmenarejo, Spain

  • Venue:
  • HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, the algorithm for prediction of user preferences is described through making use of the Heuristic Genetic Algorithm. A Multi-Agent System was used to evaluate our algorithm with the goal of obtaining the user private information to determine what the user requests, in order to offer appropriate services. Additionally, a list of prioritized tasks is generated accordingly, in order to assist the user in making decisions.