点击预估模型

1. Recall

算法	论文	公众号或知乎文章介绍
word2vec	Efficient Estimation of Word Representations in Vector Space
YouTubeNet	Deep Neural Networks for YouTube Recommendations	推荐系统召回模型之YouTubeNet
DSSM	Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations	实践DSSM召回模型
mind	Multi-Interest Network with Dynamic Routing for Recommendation at Tmall	推荐系统召回模型之MIND用户多兴趣网络实践

算法	论文	公众号文章介绍
FFM	Field-aware Factorization Machines for CTR Prediction	FFM算法原理及Bi-FFM算法实现
wide_and_deep	Wide & Deep Learning for Recommender Systems
NFM	Neural Factorization Machines for Sparse Predictive Analytics	NFM模型理论与实践
AFM	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks	注意力机制在深度推荐算法中的应用之AFM模型
DeepFM	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	DeepFM实践
BST	Behavior sequence transformer for e-commerce recommendation in Alibaba	Transformer 在美团搜索排序中的实践

算法	论文	公众号文章介绍
esmm	Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate	ESMM多任务学习算法在推荐系统中的应用
MMoE	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	多任务学习之MMOE模型

算法	开源地址	公众号文章介绍
Annoy	https://github.com/spotify/annoy	Annoy最近邻检索技术之 “图片检索”

https://github.com/shenweichen/DeepCTR

https://github.com/shenweichen/DeepMatch

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
AFM		AFM
BST		BST
BilinearFFM		BilinearFFM
DeepFM		DeepFM
MMoE		MMoE
NFM		NFM
esmm		esmm
mind		mind
vgg16_figure_search_annoy		vgg16_figure_search_annoy
wide_and_deep		wide_and_deep
word2vec		word2vec
youtubeNet		youtubeNet
README.md		README.md