Who we are
Emanuele Cavenaghi
CEO & Co-Founder
Emanuele leads the organization and strategy of Whysen, coordinating corporate growth and the development of its main initiatives.
General Information
An expert in Artificial Intelligence and causal models, Emanuele is completing a PhD in Computer Science at the Free University of Bozen-Bolzano with a thesis on causal models for decision-making processes applied to recommender systems. He has published numerous scientific articles and participated in international conferences. Today he combines research and strategic vision, transforming innovative ideas into concrete solutions.
Education
PhD in Computer Science, Free University of Bozen-Bolzano
Master's Degree in Computer Science, University of Milano-Bicocca
Bachelor's Degree in Computer Science, University of Milano-Bicocca
Publications & Contributions
Towards a Causal Decision Making Model for Recommender Systems (ACM TORS, 2024)
Causal Discovery in Recommender Systems: Example and Discussion (arXiv, 2024)
Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models (CEUR, 2023)
A re-rank algorithm for online hotel search (ENTER22, 2023)
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems (ACM TORS, 2023)
Non-stationary multi-armed bandit: Empirical evaluation of a new concept drift-aware algorithm (Entropy, 2021)