Giuseppe Di Benedetto

According to our database, Giuseppe Di Benedetto authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Why One Size Doesn't Fit All: Improving Music Discovery and Familiar Listening with Specialized Models.

Mahesh Jindal, Giuseppe Di Benedetto, Yannik Stein

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Aligning Recommendations with User Popularity Preferences.

Mona Schirmer, Anton Thielmann, Pola Schwöbel, Thomas Martynec, Giuseppe Di Benedetto, Ben London, Yannik Stein

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2024

Counterfactual Ranking Evaluation with Flexible Click Models.

Alexander Buchholz, Ben London, Giuseppe Di Benedetto, Jan Malte Lichtenberg, Yannik Stein, Thorsten Joachims

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending.

Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation.

Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London

CoRR, 2023

Contextual Position Bias Estimation Using a Single Stochastic Logging Policy.

Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims

Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model.

Alexander Buchholz, Ben London, Giuseppe Di Benedetto, Thorsten Joachims

CoRR, 2022

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling.

Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini

CoRR, 2022

Modeling Position Bias Ranking for Streaming Media Services.

Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Fair Effect Attribution in Parallel Online Experiments.

Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Ranker-agnostic Contextual Position Bias Estimation.

Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein

CoRR, 2021

2020

A Linear Bandit for Seasonal Environments.

Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella

CoRR, 2020

A Bayesian Nonparametric Approach to Differentially Private Data.

Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto

Proceedings of the Privacy in Statistical Databases, 2020

Non-exchangeable feature allocation models with sublinear growth of the feature sizes.

Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020