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ORCIDFernando Benjamín Pérez Maurera
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2020 – today
- 2023
[c10]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Impressions in Recommender Systems: Present and Future. IIR 2023: 97-104- [c9]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Characterizing Impression-Aware Recommender Systems. LERI@RecSys 2023: 22-33 - [c8]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Incorporating Impressions to Graph-Based Recommenders. LERI@RecSys 2023: 62-67 - [i3]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Impression-Aware Recommender Systems. CoRR abs/2308.07857 (2023) - 2022
- [j1]Cesare Bernardis
, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi:
From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. IEEE Access 10: 14779-14796 (2022) - [c7]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. ECIR (1) 2022: 671-685 - [c6]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems. IIR 2022 - [c5]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Replication of Recommender Systems with Impressions. IIR 2022 - [c4]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Towards the Evaluation of Recommender Systems with Impressions. RecSys 2022: 610-615 - [d2]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. Zenodo, 2022
- [d1]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. Zenodo, 2022 - [i2]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. CoRR abs/2201.01815 (2022) - 2021
- [c3]Nicolò Felicioni, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Paolo Cremonesi:
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. IIR 2021 - [c2]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:
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. RecSys Challenge 2021: 28-33 - 2020
- [c1]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi:
ContentWise Impressions: An Industrial Dataset with Impressions Included. CIKM 2020: 3093-3100 - [i1]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi:
ContentWise Impressions: An industrial dataset with impressions included. CoRR abs/2008.01212 (2020)
Coauthor Index
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