BERNARDIS, CESARE
BERNARDIS, CESARE
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios
2018-01-01 Bernardis, Cesare; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Analyzing and Improving Stability of Matrix Factorization for Recommender Systems
2022-01-01 D'Amico, Edoardo; Gabbolini, Giovanni; Bernardis, Cesare; Cremonesi, Paolo
Eigenvalue Perturbation for Item-based Recommender Systems
2021-01-01 Bernardis, Cesare; Cremonesi, Paolo
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; 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 B.; 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
Lightweight Model for Session-Based Recommender Systems with Seasonality Information in the Fashion Domain
2022-01-01 Della Volpe, N.; Mainetti, L.; Martignetti, A.; Menta, A.; Pala, R.; Polvanesi, G.; Sammarco, F.; Perez Maurera, F. B.; Bernardis, C.; Ferrari Dacrema, M.
Multi-Objective Blended Ensemble for Highly Imbalanced Sequence Aware Tweet Engagement Prediction
2020-01-01 Felicioni, N.; Donati, A.; Conterio, L.; Bartoccioni, L.; Hu, DAVIDE YI XIAN; Bernardis, C.; Ferrari Dacrema, M.
NFC: a Deep and Hybrid Item-based Model for Item Cold-start Recommendation
2021-01-01 Bernardis, Cesare; Cremonesi, Paolo
On the Impact of Data Sampling on Hyper-Parameter Optimisation of Recommendation Algorithms
2022-01-01 Montanari, Matteo; Bernardis, Cesare; Cremonesi, Paolo
On the Instability of Embeddings for Recommender Systems: the Case of Matrix Factorization
2021-01-01 Gabbolini, Giovanni; D'Amico, Edoardo; Bernardis, Cesare; Cremonesi, Paolo