Field Embedded Factorization Machine

What is Field Embedded Factorization Machine (FEFM)? Field Embedded Factorization Machine, or FEFM, is a type of machine learning algorithm that falls under the Factorization Machine (FM) family of algorithms. FM is used in recommendation systems, where it predicts what a user is going to like based on their past preferences. FEFM is a variant of FM that introduces symmetric matrix embeddings for each field pair along with feature vector embeddings present in FM. How does FEFM work? In FM, t