BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals

28 August 2020

Papers citing "BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals"

6 / 6 papers shown

Title
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 36 5 0 22 Feb 2024
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- $n$ Recommendation Olivier Jeunen Ivan Potapov Aleksei Ustimenko ELM OffRL 27 11 0 27 Jul 2023
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation Imad Aouali Amine Benhalloum Martin Bompaire Benjamin Heymann Olivier Jeunen D. Rohde Otmane Sakhi Flavian Vasile OffRL 11 2 0 18 Sep 2022
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 42 3 0 08 Aug 2022
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016