Gabriele Sottocornola

17 papers A 4B 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Ranking the causal impact of recommendations under collider bias in k-spots recommender systems.
Trans. Recomm. Syst.
Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Federico Lucchesi, Bartlomiej Skorulski
2023 J jnl
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems.
Trans. Recomm. Syst.
Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2023 A conf
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being.
UMAP
Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski
2022 — conf
An Analysis of User Click Behaviour in Online Hotel Search.
IIR
Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2022 — conf
An Online Experiment of a Price-Based Re-Rank Algorithm.
RecTour@RecSys
Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2022 J jnl
Picture-based and conversational decision support to diagnose post-harvest apple diseases.
Expert Syst. Appl.
Gabriele Sottocornola, Sanja Baric, Maximilian Nocker, Fabio Stella, Markus Zanker
2021 — conf
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper).
KaRS/ComplexRec@RecSys
Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker
2021 — conf
Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple.
WI/IAT
Gabriele Sottocornola, Fabio Stella, Markus Zanker
2021 J jnl
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases.
CoRR
Gabriele Sottocornola, Fabio Stella, Markus Zanker
2021 J jnl
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm.
Entropy
Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2020 A conf
Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple.
IUI
Gabriele Sottocornola, Maximilian Nocker, Fabio Stella, Markus Zanker
2020 J jnl
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR
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
2020 A conf
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
RecSys
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
2019 — conf
Knowledge Models for Diagnosing Postharvest Diseases of Apples.
JOWO
Armin Niederkofler, Sanja Baric, Giancarlo Guizzardi, Gabriele Sottocornola, Markus Zanker
2018 A conf
Picture-based navigation for diagnosing post-harvest diseases of apple.
RecSys
Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella
2018 — conf
Session-based News Recommendations.
WWW (Companion Volume)
Gabriele Sottocornola, Panagiotis Symeonidis, Markus Zanker
2017 B conf
Towards a deep learning model for hybrid recommendation.
WI
Gabriele Sottocornola, Fabio Stella, Markus Zanker, Francesco Canonaco