16 citations · 35 across the 4 of their papers we have counts for
5 papers
Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling
Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema +1
Off-policy evaluation (OPE) for contextual bandit policies becomes challenging when action-level importance weighting incurs excessive variance. Doubly robust (DR) estimation remai…
Automated Off-Policy Estimator Selection via Supervised Learning
Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema
The Off-Policy Evaluation (OPE) problem consists of evaluating the performance of counterfactual policies with data collected by another one. To solve the OPE problem, we resort to…
A Model and Survey of Distributed Data-Intensive Systems
Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni +1
Data is a precious resource in today's society, and is generated at an unprecedented and constantly growing pace. The need to store, analyze, and make data promptly available to a…
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
It is common for video-on-demand and music streaming services to adopt a user interface composed of several recommendation lists, i.e. widgets or swipeable carousels, each generate…
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
Many video-on-demand and music streaming services provide the user with a page consisting of several recommendation lists, i.e. widgets or swipeable carousels, each built with a sp…