22 citations · 27 across the 3 of their papers we have counts for
3 papers
Impression-Aware Recommender Systems
Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells +1
Novel data sources bring new opportunities to improve the quality of recommender systems and serve as a catalyst for the creation of new paradigms on personalized recommendations.…
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
This work explores the reproducibility of CFGAN. CFGAN and its family of models (TagRec, MTPR, and CRGAN) learn to generate personalized and fake-but-realistic rankings of preferen…
ContentWise Impressions: An Industrial Dataset with Impressions Included
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule +2
In this article, we introduce the ContentWise Impressions dataset, a collection of implicit interactions and impressions of movies and TV series from an Over-The-Top media service,…