Gabriele Sottocornola

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

News Recommendation

Multi Armed Bandit

Top Venues

Trans. Recomm. Syst.

Publications

Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. Trans. Recomm. Syst. 1 (3) (2023)
Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being. UMAP (2023)
Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys (2022)
Gabriele Sottocornola, Sanja Baric, Maximilian Nocker, Fabio Stella, Markus Zanker
Picture-based and conversational decision support to diagnose post-harvest apple diseases. Expert Syst. Appl. 189 (2022)
Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
An Analysis of User Click Behaviour in Online Hotel Search. IIR (2022)
Gabriele Sottocornola, Fabio Stella, Markus Zanker
Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple. WI/IAT (2021)
Gabriele Sottocornola, Fabio Stella, Markus Zanker
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. CoRR (2021)
Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. Entropy 23 (3) (2021)
Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). KaRS/ComplexRec@RecSys (2021)
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR (2020)
Gabriele Sottocornola, Maximilian Nocker, Fabio Stella, Markus Zanker
Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple. IUI (2020)
Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys (2020)
Armin Niederkofler, Sanja Baric, Giancarlo Guizzardi, Gabriele Sottocornola, Markus Zanker
Knowledge Models for Diagnosing Postharvest Diseases of Apples. JOWO (2019)
Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella
Picture-based navigation for diagnosing post-harvest diseases of apple. RecSys (2018)
Gabriele Sottocornola, Panagiotis Symeonidis, Markus Zanker
Session-based News Recommendations. WWW (Companion Volume) (2018)
Gabriele Sottocornola, Fabio Stella, Markus Zanker, Francesco Canonaco
Towards a deep learning model for hybrid recommendation. WI (2017)