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  • FM模型
  • Distributed Factorization Machines
  • 参考佳文

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Factorization Machine

PreviousSimRankNextField-aware Factorization Machine

Last updated 5 years ago

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FM模型

y^(x)=w0+∑i=1nwixi+∑i=1n∑j=i+1n⟨vi,vj⟩xixj\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_jy^​(x)=w0​+∑i=1n​wi​xi​+∑i=1n​∑j=i+1n​⟨vi​,vj​⟩xi​xj​

Distributed Factorization Machines

参考佳文

截图

目前效果和理论上比较好的模型,比LR FM都好。

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
Factorization Machines 学习笔记(四)学习算法