prusrafal / click-through-rate-prediction-model Goto Github PK
View Code? Open in Web Editor NEWThis repository is for a Decision Making Aarhus University Course assignment, focusing on using Multi-Armed Bandit algorithms, specifically the epsilon-greedy algorithm, for optimizing click-through rates in digital advertising by balancing the exploration of new ads and the exploitation of successful ones.
License: MIT License