machine-learning video for as a Machine Learning Engineer at a tech company, you are tasked with building a recommendation system for a video streaming service.
As a Machine Learning Engineer at a tech company, you are tasked with building a recommendation system for a video streaming service. You have a large quantity of user interaction data, but much of it is noisy and not directly related to user preferences. Which approach is MOST effective for handling noisy data in this scenario to improve model performance?