FERRARI DACREMA, MAURIZIO
FERRARI DACREMA, MAURIZIO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
Dacrema M.F.; Ferrari Dacrema, Maurizio; Dacrema, Maurizio Ferrari
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Cremonesi, P.
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios
2018-01-01 Bernardis, Cesare; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
2021-01-01 Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar
Aggregating models for anomaly detection in space systems: Results from the FCTMAS study
2019-01-01 Amigoni, Francesco; Ferrari Dacrema, Maurizio; Donati, Alessandro; Laroque, Christian; Lavagna, Michèle; Riva, Alessandro
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
2022-01-01 Pérez Maurera, Fernando Benjamín; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
2019-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario
2018-01-01 Antenucci, Sebastiano; Boglio, Simone; Chioso, Emanuele; Dervishaj, Ervin; Kang, Shuwen; Scarlatti, Tommaso; Ferrari Dacrema, Maurizio.
ContentWise Impressions: An Industrial Dataset with Impressions Included
2020-01-01 Perez Maurera, Fernando B.; Ferrari Dacrema, Maurizio; Saule, Lorenzo; Scriminaci, Mario; Cremonesi, Paolo
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
2020-01-01 Ferrari Dacrema, Maurizio; Parroni, Federico; Cremonesi, Paolo; Jannach, Dietmar
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
2021-01-01 Ferrari Dacrema, Maurizio
Deriving Item Features Relevance from Collaborative Domain Knowledge
2018-01-01 Ferrari Dacrema, Maurizio; Gasparin, Alberto; Cremonesi, Paolo
Design and Evaluation of Cross-Domain Recommender Systems
2022-01-01 Ferrari Dacrema, Maurizio; Cantador, Iván; Fernández-Tobías, Ignacio; Berkovsky, Shlomo; Cremonesi, Paolo
Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems
2018-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; Ferrari Dacrema, M.; Cremonesi, P.
Evaluating Recommendations in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer
2022-01-01 Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Feature Selection for Classification with QAOA
2022-01-01 Turati, G.; Ferrari Dacrema, M.; Cremonesi, P.
Feature selection for Recommender Systems with Quantum Computing
2021-01-01 Nembrini, Riccardo; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Feature Selection via Quantum Annealers for Ranking and Classification Tasks
2022-01-01 Ferrari Dacrema, Maurizio; Moroni, Fabio; Nembrini, Riccardo; Ferro, Nicola; Faggioli, Guglielmo; Cremonesi, Paolo
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain
2022-01-01 Bernardis, Cesare; Ferrari Dacrema, Maurizio; Perez Maurera, Fernando B.; Quadrana, Massimo; Scriminaci, Mario; Cremonesi, Paolo