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Best Practices for Machine Learning Systems: An Industrial Framework for Analysis and Optimization
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
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.
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
We derive 6 research topics and 12 practical challenges for fraud detection from this operational model.
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
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.
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
Promotions and discounts have become key components of modern e-commerce platforms.
