Welcome to my personal site. My socials are: LinkedIn, X/Twitter
I'm a Ph.D candidate at Politecnico di Milano where I study Recommender Systems (check out the lab's page), their application on industrial environments, online evaluation, experimentation of UI personalization, and more. Ultimately, I've been researching impression-aware recommender systems, where I focus on their characterization, evaluation, and experimentation. I'm interested on producing high quality research, applying what I learnt from working as a Software Engineer in the industry.
The complete list of my publications can be seen on my Google Scholar profile. Here I list the three most relevant publications.
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Impression-Aware Recommender Systems. Under revision. Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi. arXiv
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ContentWise Impressions: An industrial dataset with impressions included. Accepted & presented at CIKM 2020. Fernando B. Pérez Maurera, Lorenzo Saule, Maurizio Ferrari Dacrema, Mario Scriminaci, Paolo Cremonesi. DOI: 10.1145/3340531.3412774, GitHub, arXiv, ACM DL
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An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. Accepted & presented at ECIR 2022. Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi. DOI: 10.1007/978-3-030-99736-6_45, GitHub, arXiv, SpringerLink
For academic/research inquiries, send an email to my institutional email. For any other contribution, send an email to my personal address.