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 2. Rank 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 3. 多任务 Rank 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 4. recall_search 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” 代码参考 https://github.com/shenweichen/DeepCTR https://github.com/shenweichen/DeepMatch