wnzhang / rtbcontrolLinks
A feedback controller for stabilizing RTB performance to a target value.
☆70Updated 9 years ago
Alternatives and similar repositories for rtbcontrol
Users that are interested in rtbcontrol are comparing it to the libraries listed below
Sorting:
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 9 years ago
- libffm with ftrl updater☆94Updated 8 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
- ☆18Updated 9 years ago
- ☆84Updated 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
- MXNet for CTR☆50Updated 7 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 7 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆183Updated 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
- Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition☆260Updated 8 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆27Updated 6 years ago
- Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm☆152Updated 6 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
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- A Tensorflow based implicit recommender system☆107Updated 5 years ago
- fast_tffm: Tensorflow-based Distributed Factorization Machine☆141Updated 8 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 5 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆71Updated 4 years ago
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated 2 years ago
- An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"☆60Updated 7 years ago
- distributed version of product-nets☆82Updated 5 years ago
- field-aware factorization machine implemented by java with an experiment using criteo data set.☆39Updated 10 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- ☆108Updated 8 years ago
- SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising☆50Updated 8 years ago
- follow-the-regularized-leader implemented by java, with an example using criteo dataset.☆37Updated 9 years ago