wnzhang / rtb-unbiased-learningLinks
☆18Updated 9 years ago
Alternatives and similar repositories for rtb-unbiased-learning
Users that are interested in rtb-unbiased-learning are comparing it to the libraries listed below
Sorting:
- A feedback controller for stabilizing RTB performance to a target value.☆70Updated 9 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆28Updated 6 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- FFM implement with tensorflow by Python☆60Updated 7 years ago
- ☆62Updated 6 years ago
- MXNet for CTR☆50Updated 7 years ago
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 9 years ago
- In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…☆31Updated 6 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- Keras Implementation for "Deep & Cross Network for Ad Click Predictions"☆94Updated 4 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
- ☆84Updated 6 years ago
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆183Updated 4 years ago
- Deepray: LEGO for deep learning, Making AI easier, faster and cheaper👻☆42Updated this week
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 8 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
- spark-simrank scala☆17Updated 8 years ago
- simple multi-class GBDT☆15Updated 11 years ago
- ☆31Updated 3 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 4 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 5 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Updated last year
- distributed version of product-nets☆82Updated 5 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 8 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