Search Results for author: Lucas Bernardi

Found 5 papers, 0 papers with code

Best Practices for Machine Learning Systems: An Industrial Framework for Analysis and Optimization

no code implementations9 Jun 2023 Georgios Christos Chouliaras, Kornel Kiełczewski, Amit Beka, David Konopnicki, Lucas Bernardi

In the last few years, the Machine Learning (ML) and Artificial Intelligence community has developed an increasing interest in Software Engineering (SE) for ML Systems leading to a proliferation of best practices, rules, and guidelines aiming at improving the quality of the software of ML Systems.

Simulations in Recommender Systems: An industry perspective

no code implementations14 Sep 2021 Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini

The construction of effective Recommender Systems (RS) is a complex process, mainly due to the nature of RSs which involves large scale software-systems and human interactions.

Recommendation Systems

Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals

no code implementations26 Jan 2021 Anastasiia Kornilova, Lucas Bernardi

It is a simple and effective mechanism that contributes to match supply with demand by helping guests to find options meeting their criteria and accommodation suppliers to market their product to the right segment directly impacting the number of transactions on the platform.

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