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Cesare Bernardis
Cesare Bernardis
Computer Science PhD student, Politecnico di Milano
Email verificata su polimi.it
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Citata da
Citata da
Anno
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
102019
A novel graph-based model for hybrid recommendations in cold-start scenarios
C Bernardis, MF Dacrema, P Cremonesi
arXiv preprint arXiv:1808.10664, 2018
102018
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
82020
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
72019
NFC: A deep and hybrid item-based model for item cold-start recommendation
C Bernardis, P Cremonesi
User Modeling and User-Adapted Interaction 32 (4), 747-780, 2022
42022
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
32021
Multi-stage Ensemble Model for Cross-market Recommendation
C Bernardis
arXiv preprint arXiv:2202.08824, 2022
12022
Lightweight Model for Session-Based Recommender Systems with Seasonality Information in the Fashion Domain
N Della Volpe, L Mainetti, A Martignetti, A Menta, R Pala, G Polvanesi, ...
Proceedings of the Recommender Systems Challenge 2022, 18-23, 2022
2022
On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms
M Montanari, C Bernardis, P Cremonesi
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1399-1402, 2022
2022
Analyzing and improving stability of matrix factorization for recommender systems
E D’Amico, G Gabbolini, C Bernardis, P Cremonesi
Journal of Intelligent Information Systems 58 (2), 255-285, 2022
2022
From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain
C Bernardis, MF Dacrema, FBP Maurera, M Quadrana, M Scriminaci, ...
IEEE Access 10, 14779-14796, 2022
2022
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment
L Carminati, G Lodigiani, P Maldini, S Meta, S Metaj, A Pisa, A Sanvito, ...
RecSysChallenge'21: Proceedings of the Recommender Systems Challenge 2021, 28-33, 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.
Articoli 1–13