Towards a deep learning model for hybrid recommendation. - Gabriele Sottocornola; Fabio Stella; Markus Zanker; Francesco Canonaco (WI, 2017)

Picture-based navigation for diagnosing post-harvest diseases of apple. - Maximilian Nocker; Gabriele Sottocornola; Markus Zanker; Sanja Baric; Greice Amaral Carneiro; Fabio Stella (RecSys, 2018)

Session-based News Recommendations. - Gabriele Sottocornola; Panagiotis Symeonidis; Markus Zanker (WWW (Companion Volume), 2018)

Knowledge Models for Diagnosing Postharvest Diseases of Apples. - Armin Niederkofler; Sanja Baric; Giancarlo Guizzardi; Gabriele Sottocornola; Markus Zanker (JOWO, 2019)

Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple. - Gabriele Sottocornola; Maximilian Nocker; Fabio Stella; Markus Zanker (IUI, 2020)

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. - 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; et al. (RecSys, 2020)

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. - 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; et al. (CoRR, 2020)

Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). - Gabriele Sottocornola; Sanja Baric; Fabio Stella; Markus Zanker (KaRS/ComplexRec@RecSys, 2021)

Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple. - Gabriele Sottocornola; Fabio Stella; Markus Zanker (WI/IAT, 2021)

Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. - Gabriele Sottocornola; Fabio Stella; Markus Zanker (CoRR, 2021)

Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. - Emanuele Cavenaghi; Gabriele Sottocornola; Fabio Stella; Markus Zanker (Entropy, 2021)

An Analysis of User Click Behaviour in Online Hotel Search. - Emanuele Cavenaghi; Lorenzo Camaione; Paolo Minasi; Gabriele Sottocornola; Fabio Stella; Markus Zanker (IIR, 2022)

An Online Experiment of a Price-Based Re-Rank Algorithm. - Emanuele Cavenaghi; Lorenzo Camaione; Paolo Minasi; Gabriele Sottocornola; Fabio Stella; Markus Zanker (RecTour@RecSys, 2022)

Picture-based and conversational decision support to diagnose post-harvest apple diseases. - Gabriele Sottocornola; Sanja Baric; Maximilian Nocker; Fabio Stella; Markus Zanker (Expert Syst. Appl., 2022)

Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being. - Aleix Ruiz de Villa; Gabriele Sottocornola; Ludovik Coba; Giovanni Maffei; Federico Lucchesi; João Guerreiro; Bartlomiej Skorulski (UMAP, 2023)

A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. - Emanuele Cavenaghi; Gabriele Sottocornola; Fabio Stella; Markus Zanker (Trans. Recomm. Syst., 2023)

Ranking the causal impact of recommendations under collider bias in k-spots recommender systems. - Aleix Ruiz de Villa; Gabriele Sottocornola; Ludovik Coba; Federico Lucchesi; Bartlomiej Skorulski (Trans. Recomm. Syst., 2024)