目录	Jupyter NoteBook	HTML
神经网络		HTML
中、英文本基础处理		HTML
词向量的构建与表示		HTML

• embedding

TextRank: Bringing Order into Texts

Word2Vec [1][2][3][4]

GloVe: Global Vectors for Word Representation

FastText: Enriching Word Vectors with Subword Information

FastText: Bag of Tricks for Efficient Text Classification

• embedding-apply

Bidirectional LSTM-CRF Models for Sequence Tagging

Item2Vec: Neural Item Embedding for Collaborative Filtering

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

Real-time Personalization using Embeddings for Search Ranking at Airbnb

• Transformer

ELMO: Deep contextualized word representations

Neural Machine Translation by Jonitly Learning to Align and Translate

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

GPT-2: Language Models are Unsupervised Multitask Learners

• 模型召回

The Learning Behind Gmail Priority Inbox

Amazon.com recommendations: item-to-item collaborative filtering

BPR- Bayesian Personalized Ranking from Implicit Feedback

Matrix Factorization Techniques For Recommender Systems

FM: Factorization Machine

FFM: Field-aware Factorization Machine

Wide & Deep Learning for Recommender Systems

DNN：Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations

• 行为序列召回

GRU：Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

CNN：Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Transformer: Self-Attentive Sequential Recommendation

• 用户兴趣拆分

召回：Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

排序：Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

• 知识图谱融合

KGAT: Knowledge Graph Attention Network for Recommendation

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

• 图神经网络召回

GraphSAGE: Inductive Representation Learning on Large Graphs

PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems

• 显示特征组合

DCN: Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

PNN: Product-based Neural Network

• 特征抽取

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

• AutoML

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

• 强化学习

Youtube: Top-K Off-Policy Correction for a REINFORCE Recommender System

Youtube: Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology

• 多目标学习

MMOE：Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

帕累托最优：A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation

• 多模态融合

召回：Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace

排序：Image Matters: Visually modeling user behaviors using Advanced Model Server

• 长短期兴趣分离

Neural News Recommendation with Long- and Short-term User Representations

Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks

Personalized Re-ranking for Recommendation

Learning a Deep Listwise Context Model for Ranking Refinement

FTRL: Adaptive Bound Optimization for Online Convex Optimization