Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Learning User?s Characteristics in Collaborative Filtering through Genetic Algorithms: Some New Results
Year:2014
Research Areas
  • Information technology and adata processing
Information
Abstract
This work presents an alternative approach (Genetic Algorithms approach) to traditional treatment of Recommender Systems (RSs). The work examines genetic algorithms possibilities to offer adaptive characteristics to these systems trough learning. The main goal, in addition to give a general view about RSs capabilities and possibilities, it is to provide a new example mechanism for to extend RSs learning capabilities (from user?s personal characteristics), with the purpose of improve the effectiveness at time of to find recommendations and appropriate suggestions for particular individuals.
International
Si
10.1007/978-3-319-03674-8_30
Book Edition
Book Publishing
Springer International Publishing
ISBN
978-3-319-03673-1
Series
312
Book title
Advance Trends in Soft Computing
From page
309
To page
326
Participants
  • Autor: Oswaldo Enrique Velez Langs (UPM)
  • Autor: Angelica de Antonio Jimenez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)