wnzhang / make-ipinyou-dataLinks
This project is to formalise the iPinYou RTB data into a standard format for further researches.
☆132Updated 2 years ago
Alternatives and similar repositories for make-ipinyou-data
Users that are interested in make-ipinyou-data are comparing it to the libraries listed below
Sorting:
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆187Updated 4 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 5 years ago
- Library of contextual bandits algorithms☆336Updated last year
- A feedback controller for stabilizing RTB performance to a target value.☆71Updated 10 years ago
- A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"☆105Updated 11 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆248Updated 7 years ago
- ☆83Updated 6 years ago
- Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribut…☆374Updated 5 years ago
- Yahoo! news article recommendation system by linUCB☆111Updated 7 years ago
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 10 years ago
- TensorFlow Implementation of Attentional Factorization Machine☆407Updated 7 years ago
- Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning☆47Updated 6 years ago
- An attempt of training DNN models to predict ad click-through rate, implemented with Theano.☆408Updated 8 years ago
- This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.☆90Updated 5 years ago
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆119Updated 6 years ago
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆480Updated 4 years ago
- ☆38Updated 3 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
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago
- Contextual bandit in python☆112Updated 4 years ago
- TenforFlow Implementation of Neural Factorization Machine☆472Updated 5 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆27Updated 7 years ago
- ☆370Updated last year
- Implementation of DeepFM using tensorflow.☆48Updated 8 years ago
- Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"☆216Updated 3 years ago
- TensorFlow implemenation of GRu4Rec model☆219Updated 6 years ago
- Solution of RecSys Challenge 2015☆90Updated 9 years ago
- Bayesian Personalized Ranking☆215Updated 9 years ago
- Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"☆41Updated 7 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆217Updated 4 years ago