Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

1 code implementation • 23 Jul 2020 • Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach

In recent years, algorithm research in the area of recommender systems has shifted from matrix factorization techniques and their latent factor models to neural approaches.

Recommendation Systems