Authors:
S. Valero
;
E. Argente
and
V. Botti
Affiliation:
DSIC, Universidad Politécnica de Valencia, Spain
Keyword(s):
Soft computing, Genetic algorithms, Recommender systems, Profile acquisition, Capturing preferences.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computational Intelligence
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Soft Computing
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Web Intelligence
;
Web Mining
Abstract:
Determining the most desired product attributes would be crucial for companies that want to offer their clients those products which best fit their preferences. In this work, a genetic approach is employed for establishing the appropriate attribute weights of movies, determining which movie attributes are essential or dispensable for users in their selection process. The obtained weights are employed to predict user's ratings for a test set of movies, proving that the obtained parameters really describe their preferences.