Leverage pre-configured collaborative filtering algorithms, such as Alternating Least Squares (ALS) and Bayesian Personalized Ranking (BPR), to process and analyze your shopper signal data which then produces contextualized item and user specific recommendations. These algorithms come with templated training jobs and standardized pipelines, as well as highly customizable features, to serve a variety of use cases and help teams get the most out of recommendations.