Alternatives and similar repositories for optimal-rtb:

Users that are interested in optimal-rtb are comparing it to the libraries listed below

• wnzhang / make-ipinyou-data
  This project is to formalise the iPinYou RTB data into a standard format for further researches.
  ☆126Updated 2 years ago
• wush978 / KDD2015wpp
  Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"
  ☆41Updated 6 years ago
• wnzhang / rtbcontrol
  A feedback controller for stabilizing RTB performance to a target value.
  ☆69Updated 9 years ago
• han-cai / rlb-dp
  Real-Time Bidding by Reinforcement Learning in Display Advertising
  ☆181Updated 4 years ago
• wnzhang / rtbarbitrage
  A framework of statistical arbitrage mining in performance-driven display advertising.
  ☆71Updated 9 years ago
• rk2900 / bidding-machine
  An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
  ☆57Updated 7 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆130Updated 10 years ago
• jimcaine / rtb
  Real Time Bidding Algorithm Implementation
  ☆39Updated 10 years ago
• blebreton / spark-FM-parallelSGD
  Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
  ☆229Updated 9 years ago
• rayshi14 / HybridLinUCB-python
  Hybrid Linear UCB bandit learning algorithm L Li(2010) python code
  ☆56Updated 9 years ago
• comadan / FM_FTRL
  Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition
  ☆260Updated 8 years ago
• zeromike / bid-lands
  ☆27Updated 9 years ago
• skrusche63 / spark-fm
  Reactive Factorization Engine
  ☆104Updated 10 years ago
• alfredolainez / bpr-spark
  Bayesian Personalized Ranking for Spark
  ☆40Updated 7 years ago
• zhengruifeng / spark-libFM
  An implement of Factorization Machines (LibFM)
  ☆250Updated 6 years ago
• chenhuang-learn / ffm
  field-aware factorization machine implemented by java with an experiment using criteo data set.
  ☆39Updated 9 years ago
• VinceShieh / spark-ffm
  FFM (Field-Awared Factorization Machine) on Spark
  ☆106Updated 6 years ago
• yu-iskw / click-through-rate-prediction
  Kaggle's click through rate prediction with Spark Pipeline API
  ☆23Updated 9 years ago
• ajtulloch / adpredictor
  A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python
  ☆91Updated 11 years ago
• rk2900 / optimal-ctr-bidding
  A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…
  ☆25Updated 6 years ago
• CNevd / libffm-ftrl
  libffm with ftrl updater
  ☆94Updated 7 years ago
• wnzhang / deep-ctr
  An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
  ☆407Updated 7 years ago
• wnzhang / rtb-unbiased-learning
  ☆18Updated 8 years ago
• brkyvz / streaming-matrix-factorization
  Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems
  ☆106Updated 9 years ago
• ivanliu1989 / AVAZU-CTR-Prediction
  In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…
  ☆32Updated 5 years ago
• daxiongshu / light-ffm
  ☆108Updated 7 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆143Updated 8 years ago
• MrChrisJohnson / logistic-mf
  Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf
  ☆160Updated 10 years ago
• infinitezxc / kaggle-avazu
  Code for the 3rd place finish for Avazu Click-Through Rate Prediction
  ☆87Updated 10 years ago
• rk2900 / DLF
  Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…
  ☆72Updated 4 years ago