Factorization Machine

FM模型

$\hat{y}(\mathbf{x}) = w_0 + \sum_{i=1}^{n} w_i x_i + \sum_{i=1}^{n} \sum_{j=i+1}^{n} \langle \mathbf{v}_i, \mathbf{v}_j \rangle x_i x_j$

截图 Factorization Machines 学习笔记（四）学习算法

Distributed Factorization Machines

参考佳文

深入FFM原理与实践 深入浅出ML之Factorization家族

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Factorization Machines 简单易学的机器学习算法——因子分解机(Factorization Machine) Factorization machine和logistic regression的区别

Factorization Machines in Python

Factorization Machines for Recommendation Systems

推荐系统遇上深度学习(三)--DeepFM模型理论和实践

ctr预估之DeepFM 目前效果和理论上比较好的模型，比LR FM都好。