DSXiangLi / CTR
CTR模型代码和学习笔记总结
☆384Updated 3 years ago
Alternatives and similar repositories for CTR:
Users that are interested in CTR are comparing it to the libraries listed below
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆289Updated 3 years ago
- 存放推荐算法相关代码、文档、资料☆235Updated 4 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆921Updated 5 years ago
- ☆391Updated 2 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆436Updated last year
- ☆213Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 4 years ago
- 《互联网大厂推荐算法实战》资料库☆254Updated last year
- A PyTorch implementation of DeepFM for CTR prediction problem.☆382Updated 3 years ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆246Updated 2 years ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,003Updated last year
- 基础的深度学习实验研究结果汇总笔记☆506Updated last year
- ☆196Updated 4 years ago
- ☆1,144Updated 5 years ago
- Sharing the CTR Prediction original paper and personal study notes☆145Updated 5 years ago
- 主流推荐系统Rank算法的实现☆219Updated last year
- 推荐系统竞赛TOP开源解决方案汇总。☆241Updated 3 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆896Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆289Updated 3 years ago
- ☆171Updated 4 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆157Updated last year
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆756Updated 6 years ago
- 原理解析及代码实战,推荐算法也可 以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!☆671Updated 3 years ago
- Deep-Learning based CTR models implemented by PyTorch☆250Updated 3 years ago
- Deep Recommenders☆325Updated last year
- ☆286Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆235Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆215Updated 3 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆230Updated 10 months ago
- 推荐系统从入门到实战☆168Updated 3 years ago