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#3: Bandits and Simulators for Recommenders with Olivier Jeunen

Recsperts - Recommender Systems Experts

NOTE

Importance of Feature Engineering in Machine Learning

Effective feature engineering can often outweigh the choice of model in machine learning. Leveraging user history, item information, and contextual data can have a significant impact on model performance. Additionally, obtaining a representative sample of the action space is crucial due to the stochastic nature of sampling. Bandit learning systems face challenges due to the need for a model of the action space, making it essential to have a comprehensive understanding of the available items for accurate probability estimation.

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