Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases

no code implementations • 8 Feb 2021 • Gabriele Sottocornola, Fabio Stella, Markus Zanker

Specifically, this paper addresses the problem of sequentially optimizing for the best diagnosis, leveraging past interactions with the system and their contextual information (i. e. the evidence provided by the users).

Active Learning counterfactual +1

Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline

no code implementations • 28 Apr 2020 • Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

Recommender systems constitute the core engine of most social network platforms nowadays, aiming to maximize user satisfaction along with other key business objectives.

Recommendation Systems