wush978 / KDD2015wpp
Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"
☆41Updated 6 years ago
Alternatives and similar repositories for KDD2015wpp:
Users that are interested in KDD2015wpp are comparing it to the libraries listed below
- A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"☆105Updated 10 years ago
- A feedback controller for stabilizing RTB performance to a target value.☆69Updated 9 years ago
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆181Updated 4 years ago
- An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"☆57Updated 7 years ago
- ☆18Updated 8 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆229Updated 8 years ago
- Reactive Factorization Engine☆104Updated 10 years ago
- This project is to formalise the iPinYou RTB data into a standard format for further researches.☆126Updated 2 years ago
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 9 years ago
- A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python☆91Updated 11 years ago
- libffm with ftrl updater☆94Updated 7 years ago
- Real Time Bidding Algorithm Implementation☆39Updated 10 years ago
- Criteo/Kaggle Competition of CTR prediction☆130Updated 10 years ago
- Code for the 3rd place finish for Avazu Click-Through Rate Prediction☆87Updated 10 years ago
- fast_tffm: Tensorflow-based Distributed Factorization Machine☆143Updated 8 years ago
- An implement of Factorization Machines (LibFM)☆250Updated 6 years ago
- Spark-based GBM☆56Updated 5 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆25Updated 6 years ago
- A framework of statistical arbitrage mining in performance-driven display advertising.☆71Updated 9 years ago
- Click Through Rate Prediction☆14Updated 10 years ago
- ☆27Updated 9 years ago
- Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition☆260Updated 8 years ago
- ☆11Updated last year
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆71Updated 4 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆105Updated 6 years ago
- ☆83Updated 6 years ago
- Kaggle's click through rate prediction with Spark Pipeline API☆23Updated 9 years ago
- field-aware factorization machine implemented by java with an experiment using criteo data set.☆39Updated 9 years ago
- Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm☆150Updated 5 years ago