Alternatives and similar repositories for optimal-ctr-bidding:

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

• wnzhang / rtb-unbiased-learning
  ☆18Updated 8 years ago
• rockingdingo / context_recommendation
  Contextual Recommendation Implementation for Research Purposes
  ☆19Updated 7 months ago
• yinyajun / Details-In-Recommendation
  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
• rk2900 / bidding-machine
  An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
  ☆57Updated 6 years ago
• LihangLiu / Generator-Evaluator
  ☆11Updated 5 years ago
• rayshi14 / HybridLinUCB-python
  Hybrid Linear UCB bandit learning algorithm L Li(2010) python code
  ☆56Updated 9 years ago
• qingyun-wu / CoLinUCB_Revised
  ☆83Updated 6 years ago
• rk2900 / DLF
  Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…
  ☆71Updated 4 years ago
• wnzhang / rtbcontrol
  A feedback controller for stabilizing RTB performance to a target value.
  ☆66Updated 9 years ago
• Atomu2014 / make-ipinyou-data
  This project is to formalise the iPinYou RTB data into a standard format for further researches.
  ☆24Updated 2 years ago
• zgw21cn / DeepFM
  Implementation of DeepFM using tensorflow.
  ☆48Updated 7 years ago
• Atomu2014 / Ads-RecSys-Datasets
  This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
  ☆90Updated 4 years ago
• Atomu2014 / product-nets-distributed
  distributed version of product-nets
  ☆81Updated 5 years ago
• CNevd / FM_DMLC
  Distributed FM and LR based on Rabit with Lbfgs
  ☆27Updated 8 years ago
• YuyuZha0 / bayes-smoothing
  Click-Through Rate Estimation for Rare Events in Online Advertising
  ☆13Updated 6 years ago
• andyxzq / gbdt_lr_in_recsys
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Updated 7 years ago
• yym-ustc / FactorizationMachine
  implementation of factorization machine, support classification.
  ☆19Updated 6 years ago
• ARASC / papers
  papers we read about Recommendation Advertising & Search
  ☆30Updated 4 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
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆30Updated 6 years ago
• LitoWang / recommendation_papers
  paper collection for recommendation aspet
  ☆37Updated 3 years ago
• wanesta / Simrank
  spark-simrank scala
  ☆17Updated 8 years ago
• wangrunjie / SHALE
  SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising
  ☆50Updated 8 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• CastellanZhang / alphaFM_softmax
  Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
  ☆70Updated 3 years ago
• cnfsll / Neural-Factorization-Machine
  Factorization Machine, Deep Learning, Recommender System
  ☆18Updated 6 years ago
• MehdiAbbanaBennani / Neural-Networks-for-Collaborative-Filtering
  Deep Learning for Recommendation
  ☆34Updated 7 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 4 years ago
• chenhuang-learn / ffm
  field-aware factorization machine implemented by java with an experiment using criteo data set.
  ☆39Updated 9 years ago
• weiweijiuzaizhe / ctr_pipeline
  通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
  ☆26Updated 7 years ago