Cesare Bernardis
Cesare Bernardis
Computer Science PhD student, Politecnico di Milano
Email verificata su polimi.it
Titolo
Citata da
Citata da
Anno
A novel graph-based model for hybrid recommendations in cold-start scenarios
C Bernardis, MF Dacrema, P Cremonesi
arXiv preprint arXiv:1808.10664, 2018
112018
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
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
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
On the instability of embeddings for recommender systems: the case of Matrix Factorization
G Gabbolini, E D'Amico, C Bernardis, P Cremonesi
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1363-1370, 2021
12021
NFC: a deep and hybrid item-based model for item cold-start recommendation
C Bernardis, P Cremonesi
User Modeling and User-Adapted Interaction, 1-34, 2021
2021
Eigenvalue Perturbation for Item-based Recommender Systems
C Bernardis, P Cremonesi
Fifteenth ACM Conference on Recommender Systems, 656-660, 2021
2021
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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