Gabriele Sottocornola

Orcid: 0000-0001-9983-2330

According to our database1, Gabriele Sottocornola authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems.
Trans. Recomm. Syst., September, 2023

Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

2022
Picture-based and conversational decision support to diagnose post-harvest apple diseases.
Expert Syst. Appl., 2022

An Online Experiment of a Price-Based Re-Rank Algorithm.
Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

An Analysis of User Click Behaviour in Online Hotel Search.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

2021
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm.
Entropy, 2021

Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases.
CoRR, 2021

Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper).
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

2020
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2019
Knowledge Models for Diagnosing Postharvest Diseases of Apples.
Proceedings of the Joint Ontology Workshops 2019 Episode V: The Styrian Autumn of Ontology, 2019

2018
Session-based News Recommendations.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Picture-based navigation for diagnosing post-harvest diseases of apple.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
Towards a deep learning model for hybrid recommendation.
Proceedings of the International Conference on Web Intelligence, 2017


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