drcut / FFM-tensorflowLinks
FFM implement with tensorflow by Python
☆60Updated 7 years ago
Alternatives and similar repositories for FFM-tensorflow
Users that are interested in FFM-tensorflow are comparing it to the libraries listed below
Sorting:
- ☆91Updated 7 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
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 8 years ago
- Factorization Machines implementation with Tensorflow☆143Updated 6 years ago
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆129Updated 4 years ago
- ☆43Updated 5 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆183Updated 6 years ago
- A simple DeepFM.☆101Updated 7 years ago
- ☆51Updated 7 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆290Updated 3 years ago
- Python Wrapped LibFFM☆66Updated 6 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆87Updated 7 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 4 years ago
- Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition☆259Updated 8 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Tencent Social Ads 2017 contest rank 20☆158Updated 7 years ago
- 算法相关的各种论文和slides☆42Updated 6 years ago
- This 2018 IJCAI alimama Top3 Code☆292Updated 7 years ago
- libffm with ftrl updater☆94Updated 7 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge☆58Updated 7 years ago
- Tensorflow implementations of various Learning to Rank (LTR) algorithms.☆230Updated 7 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。☆359Updated 6 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- LR、FM model solved by ftrl and sgd parallel on MPI☆111Updated 7 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
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆131Updated 5 years ago
- An attempt of training DNN models to predict ad click-through rate, implemented with Theano.☆408Updated 8 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- ☆22Updated 6 years ago