RecSys-tutorial

本项目收集整理了推荐系统的基础知识，常用的推荐系统模型代码示例，适合初学者，项目还在不断完善当中！

内容导航

基础知识

• 推荐系统
• Embedding
• 相似度
• 指标
• 评估

传统模型

序号	会议	模型	论文链接
1	-	CF	-
2	-	LFM	-
3	-	FM	Factorization Machines
4	ADKDD'14	GBDT_LR	Practical Lessons from Predicting Clicks on Ads at Facebook 🚩Facebook

神经网络模型

序号	会议	模型	论文链接
1	CIKM'13	DSSM	Learning Deep Structured Semantic Models for Web Search using Clickthrough Data 🚩Microsoft
2	DLRS'16	Wide&Deep	Wide & Deep Learning for Recommender Systems 🚩Google
3	ICDM'16	PNN	Product-based Neural Networks for User Response Prediction
4	KDD'16	DeepCrossing	Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features 🚩Microsoft
5	WWW'17	NCF	Neural Collaborative Filtering
6	IJCAI'17	DeepFM	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 🚩Huawei
7	SIGIR'17	NFM	Neural Factorization Machines for Sparse Predictive Analytics
8	IJCAI'17	AFM	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
9	ADKDD'17	DCN	Deep & Cross Network for Ad Click Predictions 🚩Google
10	KDD'18	xDeepFM	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 🚩Microsoft

参考资料

• FuxiCTR
• 《深度学习推荐系统》 王喆
• fun-rec