Welcome to my personal site. I'm Fernando B. Pérez Maurera, a scientist and engineer experienced in the development and deployment of Artificial Intelligence, Machine Learning, and Software Engineering products.
In the past five years, I've been a ML and Recommender Systems Scientist at Politecnico di Milano, where I mainly studied Recommender Systems and their development and application on industrial environments. My works focused on designing and experimenting with "Impression-Aware Recommender Systems", a new family of recommenders that leverage impressions (past recommendations) and interactions (users' actions) to produce relevant recommendations.
Prior to becoming a scientist, I was a Software Engineer at Mahisoft, an IT consulting company. As a Software Engineer, I worked on multiple agile teams in the entire development stack, capturing requirements and transforming them into production-grade large-scale systems. As a team, we used the industry-standard yet well-tested technologies. We developed frontends using React.js and typescript and backends using .NET alongside SQL Server, or Spring Boot alongside MySQL.
- Ph.D. in Information Technology from Politecnico di Milano. December 2019 - May 2024.
- Cum Laude Computer Engineer from Universidad Simón Bolívar. September 2012 - December 2018.
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 repo, 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 repo, arXiv, SpringerLink
For academic/research or personal inquiries, please send an email to my personal address. You may also contact me through other social networks; my handles are fernandobperezm on LinkedIn and @fernandobperezm on X/Twitter.