FERRARI DACREMA, MAURIZIO
FERRARI DACREMA, MAURIZIO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
Dacrema M.F.; Ferrari Dacrema, Maurizio; Dacrema, Maurizio Ferrari
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
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
2019-01-01 Dacrema, Maurizio Ferrari; 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, S.; Chioso, Emanuele; Dervishaj, Ervin; Kang, Shuwen; Scarlatti, Tommaso; Ferrari Dacrema, Maurizio.
ContentWise Impressions: An Industrial Dataset with Impressions Included
2020-01-01 Perez Maurera, F. B.; Ferrari Dacrema, M.; Saule, L.; Scriminaci, M.; Cremonesi, P.
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
2020-01-01 Ferrari Dacrema, M.; Parroni, F.; Cremonesi, P.; Jannach, D.
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, M.; Gasparin, A.; Cremonesi, P.
Design and Evaluation of Cross-Domain Recommender Systems
2022-01-01 Dacrema, Maurizio Ferrari; Cantador, Iván; Fernández-Tobías, Ignacio; Berkovsky, Shlomo; Cremonesi, Paolo
Eigenvalue analogy for confidence estimation in item-based recommender systems
2018-01-01 Ferrari Dacrema, M.; Cremonesi, P.
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; Ferrari Dacrema, M.; Cremonesi, P.
Evaluating the job shop scheduling problem on a D-wave quantum annealer
2022-01-01 Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
2022-01-01 Pérez Maurera, Fernando Benjamín; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Feature selection for recommender systems with quantum computing
2021-01-01 Nembrini, R.; Ferrari Dacrema, M.; Cremonesi, P.
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 BENJAMIN; Quadrana, Massimo; Scriminaci, Mario; Cremonesi, Paolo
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank
2019-01-01 D'Amico, E.; Parroni, F.; Gabbolini, G.; Piccinini, F.; Montesi, D.; Rossettini, A.; Moreschini, M.; Introito, A. R.; Bernardis, C.; Ferrari Dacrema, M.
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment
2021-01-01 Carminati, Luca; Lodigiani, Giacomo; Maldini, Pietro; Meta, Samuele; Metaj, Stiven; Pisa, Arcangelo; Sanvito, Alessandro; Surricchio, Mattia; Pérez Maurera, Fernando Benjamín; Bernardis, Cesare; Ferrari Dacrema, Maurizio
Measuring the ranking quality of recommendations in a two-dimensional carousel setting
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Perez Maurera, F. B.; Cremonesi, P.
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Cremonesi, P.
Methodological Issues in Recommender Systems Research (Extended Abstract)
2020-01-01 Ferrari Dacrema, M.; Cremonesi, P.; Jannach, D.
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.