ymkigeg / keras-DeepFMLinks
Implementation of DeepFM using keras. And train on libsvm format file
☆13Updated 6 years ago
Alternatives and similar repositories for keras-DeepFM
Users that are interested in keras-DeepFM are comparing it to the libraries listed below
Sorting:
- 算法相关的各种论文和slides☆41Updated 6 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆291Updated 4 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆184Updated 6 years ago
- Implement Wide & Deep algorithm by using NumPy☆156Updated 6 years ago
- recommendation system with Youtube Deep Net☆84Updated 7 years ago
- ☆207Updated 5 months ago
- ☆15Updated 7 years ago
- ☆43Updated 5 years ago
- A simple DeepFM.☆102Updated 7 years ago
- Factorization Machines implementation with Tensorflow☆142Updated 6 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆71Updated 4 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- 基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)☆208Updated 7 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆104Updated 5 years ago
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆72Updated 4 years ago
- ☆91Updated 7 years ago
- ☆172Updated 5 years ago
- FM and FFM implement with tensorflow by Python☆63Updated 6 years ago
- ☆216Updated 5 years ago
- A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.☆76Updated 4 years ago
- A python library contain classic algorithms and deep models on recommender system☆46Updated 5 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Updated 4 years ago
- This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。☆361Updated 6 years ago
- Classic recommendation algorithms implementation☆42Updated 4 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆107Updated 7 years ago
- This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.☆294Updated 7 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 4 years ago
- train, evaluate and deploy model using tf-estimator☆48Updated 2 years ago