Paper Info
Title
Capturing User'S Preferences Using A Genetic Algorithm Determining Essential And Dispensable Item Attributes
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.
Year
Venue
Keywords
2010
ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE
Soft computing, Genetic algorithms, Recommender systems, Profile acquisition, Capturing preferences
Field
DocType
Citations 
Data mining,Start point,Computer science,Artificial intelligence,Machine learning,Genetic algorithm,Test set
Conference
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Soledad Valero1294.11
Estefania Argente230921.40
Vicente J. Botti360863.78