|
|
|
|
|
Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega and Jesús Bobadilla
Recommender systems aim to estimate the judgment or opinion that a user might offer to an item. Matrix-factorization-based collaborative filtering typifies both users and items as vectors of factors inferred from item rating patterns. This method finds l...
ver más
|
|
|
|
|