no code implementations • ICLR 2018 • Luis Armona, José P. González-Brenes, Ralph Edezhath
We believe that we are the first to propose a method for learning unsuper vised embeddings that leverage the structure of multiple feature types.
no code implementations • ICLR 2018 • José P. González-Brenes, Ralph Edezhath
In spite of their great success, traditional factorization algorithms typically do not support features (e. g., Matrix Factorization), or their complexity scales quadratically with the number of features (e. g, Factorization Machine).
