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 & 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