#factorization-machine

2 notes

• DeepFM DeepFM (Guo et al., 2017) is a CTR prediction model that combines an FM component and a Deep component in parallel, jointly learning low-order (explicit) and high-order (implicit) feature interactions.
• Factorization Machine The Factorization Machine (FM) is a general-purpose prediction model proposed by Rendle (2010) that models interactions between all pairs of features as inner products of latent factor vectors.