Maurizio Ferrari Dacrema
Title
Cited by
Cited by
Year
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
M Ferrari Dacrema, P Cremonesi, D Jannach
Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019
285*2019
Movie Genome: Alleviating New Item Cold Start in Movie Recommendation
Y Deldjoo, M Ferrari Dacrema, M Gabriel Constantin, H Eghbal-Zadeh, ...
User Modeling and User-Adapted Interaction (UMUAI), 2019
502019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
M Ferrari Dacrema, S Boglio, P Cremonesi, D Jannach
ACM Transactions on Information Systems, 2021
38*2021
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario
S Antenucci, S Boglio, E Chioso, E Dervishaj, S Kang, T Scarlatti, ...
Proceedings of the ACM Recommender Systems Challenge 2018, 4, 2018
252018
A novel graph-based model for hybrid recommendations in cold-start scenarios
C Bernardis, M Ferrari Dacrema, P Cremonesi
Proceedings of the Late-Breaking Results track part of the Twelfth ACM …, 2018
102018
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
M Ferrari Dacrema, F Parroni, P Cremonesi, D Jannach
Proceedings of the 29th ACM International Conference on Information and …, 2020
8*2020
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank
E D'Amico, G Gabbolini, D Montesi, M Moreschini, F Parroni, F Piccinini, ...
Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019
72019
Deriving item features relevance from collaborative domain knowledge
M Ferrari Dacrema, A Gasparin, P Cremonesi
Proceedings of KaRS 2018 Workshop on Knowledge-aware and Conversational …, 2018
7*2018
ContentWise Impressions: An industrial dataset with impressions included
FB Pérez Maurera, M Ferrari Dacrema, L Saule, M Scriminaci, ...
Proceedings of the 29th ACM International Conference on Information and …, 2020
62020
Estimating Confidence of Individual User Predictions in Item-based Recommender Systems
C Bernardis, M Ferrari Dacrema, P Cremonesi
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019
52019
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
N Felicioni, M Ferrari Dacrema, P Cremonesi
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021
32021
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction
N Felicioni, A Donati, L Conterio, L Bartoccioni, DYX Hu, C Bernardis, ...
Proceedings of the Recommender Systems Challenge 2020, 29-33, 2020
32020
Methodological Issues in Recommender Systems Research
M Ferrari Dacrema, P Cremonesi, D Jannach
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
3*2020
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
LL Costanzo, Y Deldjoo, MF Dacrema, M Schedl, P Cremonesi
IntRS workshop, The 13th ACM Conference on Recommender Systems (RecSys …, 2019
32019
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
M Ferrari Dacrema
Proceedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence …, 2021
22021
Eigenvalue analogy for confidence estimation in item-based recommender systems
M Ferrari Dacrema, P Cremonesi
Proceedings of the Late-Breaking Results track part of the Twelfth ACM …, 2018
2*2018
User Preference Sources: Explicit vs. Implicit Feedback
P Cremonesi, F Garzotto, M Ferrari Dacrema
Collaborative Recommendations, 233-252, 2018
22018
Feature Selection for Recommender Systems with Quantum Computing
R Nembrini, M Ferrari Dacrema, P Cremonesi
Entropy 23 (8), 970, 2021
12021
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting
N Felicioni, MF Dacrema, FBP Maurera, P Cremonesi
Proceedings of IIR2021-11th Italian Information Retrieval Workshop, 2021
12021
Optimizing the Selection of Recommendation Carousels with Quantum Computing
M Ferrari Dacrema, N Felicioni, P Cremonesi
Fifteenth ACM Conference on Recommender Systems (RecSys ’21), 2021
12021
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Articles 1–20