
#3: Bandits and Simulators for Recommenders with Olivier Jeunen
Recsperts - Recommender Systems Experts
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.