Skip to content
View fernandobperezm's full-sized avatar

Organizations

@recsyspolimi

Block or report fernandobperezm

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fernandobperezm/README.md

Hello there 👋

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.

Work Experience

In the past five years, I've been a Machine Learning and Recommender Systems Scientist at Politecnico di Milano, where I mainly studied Recommender Systems and their development and application in industrial environments. My works focused on designing and experimenting with "Impression-Aware Recommender Systems", a new family of recommendation models that leverage impressions (past recommendations) and interactions (users' actions) to produce higher-quality 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.

Education

  • 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.

Scientific Publications

The complete list of my publications can be seen on my Google Scholar profile. Here, I list the three most relevant publications.

  • Impression-Aware Recommender Systems. Under revision. Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi. arXiv

  • 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

  • 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

Contact Information

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.

Pinned Loading

  1. RecsysExperimentationPlatform RecsysExperimentationPlatform Public

    A fully-fledged ecosystem for the research and evaluation of recommender systems.

    1

  2. CIKM2020-ContentWiseImpressions CIKM2020-ContentWiseImpressions Public

    Forked from ContentWise/contentwise-impressions

    This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented in our article "ContentWise Impressions: An industrial datas…

    Python 1

  3. ECIR2022-AnEvaluationStudyOfGANsForCF ECIR2022-AnEvaluationStudyOfGANsForCF Public

    This repository contains the source code and data used in our experiments described in the paper "An evaluation of Generative Adversarial Networks for Collaborative Filtering". Refer to the README …

    Python 1 2