259 citations
- Centre de Recherche en Économie et StatistiqueFR18 papers
- Centre Inria de SaclayFR16 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Sorbonne UniversitéFR14 papers
- Laboratoire d'Informatique de GrenobleFR12 papers
- École Normale Supérieure Paris-SaclayFR11 papers
- ENSAE ParisFR11 papers
- École Nationale d'AdministrationSN9 papers
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR8 papers
- École PolytechniqueFR7 papers
- Institut Systèmes Intelligents et de RobotiqueFR7 papers
- POLARIS: Évaluation et optimisation des performances des grandes infrastructuresFR6 papers
16 papers · 1 filter
Maximizing the Success Probability of Policy Allocations in Online Systems
Artem Betlei, Mariia Vladimirova, Mehdi Sebbar +3
The effectiveness of advertising in e-commerce largely depends on the ability of merchants to bid on and win impressions for their targeted users. The bidding procedure is highly c…
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
Imad Aouali, Amine Benhalloum, Martin Bompaire +5
Both in academic and industry-based research, online evaluation methods are seen as the golden standard for interactive applications like recommendation systems. Naturally, the rea…
Learning from Bandit Feedback: An Overview of the State-of-the-art
Olivier Jeunen, Dmytro Mykhaylov, David Rohde +3
In machine learning we often try to optimise a decision rule that would have worked well over a historical dataset; this is the so called empirical risk minimisation principle. In…
How robust is MovieLens? A dataset analysis for recommender systems
Anne-Marie Tousch
Research publication requires public datasets. In recommender systems, some datasets are largely used to compare algorithms against a --supposedly-- common benchmark. Problem: for…
Recommendation System-based Upper Confidence Bound for Online Advertising
Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam +5
In this paper, the method UCB-RS, which resorts to recommendation system (RS) for enhancing the upper-confidence bound algorithm UCB, is presented. The proposed method is used for…
On the Value of Bandit Feedback for Offline Recommender System Evaluation
Olivier Jeunen, David Rohde, Flavian Vasile
In academic literature, recommender systems are often evaluated on the task of next-item prediction. The procedure aims to give an answer to the question: "Given the natural sequen…