ContentWise Impressions: An Industrial Dataset with Impressions Included. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Lorenzo Saule; Mario Scriminaci; Paolo Cremonesi (CIKM, 2020)

Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. - Nicolò Felicioni; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Paolo Cremonesi (IIR, 2021)

Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. - Luca Carminati; Giacomo Lodigiani; Pietro Maldini; Samuele Meta; Stiven Metaj; Arcangelo Pisa; Alessandro Sanvito; Mattia Surricchio; Fernando Benjamín Pérez Maurera; Cesare Bernardis; Maurizio Ferrari Dacrema (RecSys Challenge, 2021)

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (ECIR (1), 2022)

Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2022)

Replication of Recommender Systems with Impressions. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2022)

Towards the Evaluation of Recommender Systems with Impressions. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (RecSys, 2022)

From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. - Cesare Bernardis; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Massimo Quadrana; Mario Scriminaci; Paolo Cremonesi (IEEE Access, 2022)

An Evaluation of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (Zenodo, 2022)

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (Zenodo, 2022)

Impressions in Recommender Systems: Present and Future. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (IIR, 2023)

Characterizing Impression-Aware Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (LERI@RecSys, 2023)

Incorporating Impressions to Graph-Based Recommenders. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (LERI@RecSys, 2023)

Impression-Aware Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (CoRR, 2023)