Cesare Bernardis

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Matrix Factorization

Recommender Systems

Top Venues

RecSys Challenge

Publications

Cesare Bernardis
Multi-stage Ensemble Model for Cross-market Recommendation. CoRR (2022)
Matteo Montanari, Cesare Bernardis, Paolo Cremonesi
On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms. SAC (2022)
Edoardo D'Amico, Giovanni Gabbolini, Cesare Bernardis, Paolo Cremonesi
Analyzing and improving stability of matrix factorization for recommender systems. J. Intell. Inf. Syst. 58 (2) (2022)
Cesare Bernardis, Paolo Cremonesi
NFC: a deep and hybrid item-based model for item cold-start recommendation. User Model. User Adapt. Interact. 32 (4) (2022)
Cesare Bernardis, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi
From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. IEEE Access 10 (2022)
Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
On the instability of embeddings for recommender systems: the case of matrix factorization. SAC (2021)
Luca Carminati, Giacomo Lodigiani, Pietro Maldini, Samuele Meta, Stiven Metaj, Arcangelo Pisa, Alessandro Sanvito, Mattia Surricchio, Fernando Benjamín Pérez Maurera, Cesare Bernardis, Maurizio Ferrari Dacrema
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. RecSys Challenge (2021)
Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
On the instability of embeddings for recommender systems: the case of Matrix Factorization. CoRR (2021)
Cesare Bernardis, Paolo Cremonesi
Eigenvalue Perturbation for Item-based Recommender Systems. RecSys (2021)
Nicolò Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction. RecSys Challenge (2020)
Edoardo D'Amico, Giovanni Gabbolini, Daniele Montesi, Matteo Moreschini, Federico Parroni, Federico Piccinini, Alberto Rossettini, Alessio Russo Introito, Cesare Bernardis, Maurizio Ferrari Dacrema
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank. RecSys Challenge (2019)
Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
Estimating Confidence of Individual User Predictions in Item-based Recommender Systems. UMAP (2019)
Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
A novel graph-based model for hybrid recommendations in cold-start scenarios. CoRR (2018)