Cesare Bernardis

15 papers A 2Misc 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Open Agent Specification (Agent Spec) Technical Report.
CoRR
Yassine Benajiba, Cesare Bernardis, Vladislav Blinov, Paul Cayet, Hassan Chafi, Abderrahim Fathan, Louis Faucon, Damien Hilloulin, Sungpack Hong, Ingo Kossyk, Rhicheek Patra, Sujith Ravi, Jonas Schweizer, Jyotika Singh, Shailender Singh, Xuelin Situ, Weiyi Sun, Jerry Xu, Ying Xu
2022 J jnl
Analyzing and improving stability of matrix factorization for recommender systems.
J. Intell. Inf. Syst.
Edoardo D'Amico, Giovanni Gabbolini, Cesare Bernardis, Paolo Cremonesi
2022 J jnl
From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain.
IEEE Access
Cesare Bernardis, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi
2022 J jnl
Multi-stage Ensemble Model for Cross-market Recommendation.
CoRR
Cesare Bernardis
2022 J jnl
NFC: a deep and hybrid item-based model for item cold-start recommendation.
User Model. User Adapt. Interact.
Cesare Bernardis, Paolo Cremonesi
2022 — —
On the effectiveness of neighborhood-based models in recommender systems
Cesare Bernardis
2022 Misc conf
On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms.
SAC
Matteo Montanari, Cesare Bernardis, Paolo Cremonesi
2021 A conf
Eigenvalue Perturbation for Item-based Recommender Systems.
RecSys
Cesare Bernardis, Paolo Cremonesi
2021 — conf
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment.
RecSys Challenge
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
2021 J jnl
On the instability of embeddings for recommender systems: the case of Matrix Factorization.
CoRR
Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
2021 Misc conf
On the instability of embeddings for recommender systems: the case of matrix factorization.
SAC
Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi
2020 — conf
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction.
RecSys Challenge
Nicolò Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema
2019 A conf
Estimating Confidence of Individual User Predictions in Item-based Recommender Systems.
UMAP
Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
2019 — conf
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank.
RecSys Challenge
Edoardo D'Amico, Giovanni Gabbolini, Daniele Montesi, Matteo Moreschini, Federico Parroni, Federico Piccinini, Alberto Rossettini, Alessio Russo Introito, Cesare Bernardis, Maurizio Ferrari Dacrema
2018 J jnl
A novel graph-based model for hybrid recommendations in cold-start scenarios.
CoRR
Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi