A tool library wants borrowers who checked item A also checked item B from a mostly empty borrower-by-item table. Which SageMaker algorithm fits that sparse interaction matrix?
Select an answer to reveal the explanation.
Short Explanation
Think of a mostly empty borrower-by-item table and checked A also checked B. Factorization Machines. A dense linear model on raw IDs does not cheaply capture those pairs.
Full Explanation
SageMaker Factorization Machines are the built-in for high-dimensional sparse pairwise interactions, such as a mostly empty borrower-by-item table. A dense linear model on raw IDs does not capture those pairs cheaply. Image Classification and Rekognition are vision paths, not recommenders.