babakx / fm_tensorflow
Factorization Machines implementation with Tensorflow
☆143Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for fm_tensorflow
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆183Updated 6 years ago
- ☆91Updated 6 years ago
- A simple DeepFM.☆101Updated 6 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆117Updated 5 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆111Updated 3 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 5 years ago
- ☆43Updated 4 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆169Updated 3 years ago
- recommendation system with Youtube Deep Net☆82Updated 6 years ago
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆71Updated 3 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆131Updated 5 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆290Updated 3 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆234Updated 4 years ago
- ☆284Updated 5 years ago
- FFM implement with tensorflow by Python☆61Updated 7 years ago
- ☆202Updated 6 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆105Updated 6 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 4 years ago
- Sharing the CTR Prediction original paper and personal study notes☆144Updated 4 years ago
- Some deep learning based recsys for open learning.☆398Updated 6 years ago
- The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.☆308Updated 6 years ago
- keras implementation about Deep Interest Network☆63Updated 5 years ago
- Keras implementation of Tensorflow's Wide and Deep Algorithm☆161Updated 5 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。☆358Updated 5 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆146Updated 8 years ago
- Implement Wide & Deep algorithm by using NumPy☆150Updated 5 years ago
- FM and FFM implement with tensorflow by Python☆62Updated 5 years ago