rk2900 / DLF
Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.
☆71Updated 4 years ago
Alternatives and similar repositories for DLF:
Users that are interested in DLF are comparing it to the libraries listed below
- A feedback controller for stabilizing RTB performance to a target value.☆66Updated 9 years ago
- ☆27Updated 8 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
- Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning☆41Updated 5 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆179Updated 4 years ago
- ☆83Updated 6 years ago
- An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"☆57Updated 6 years ago
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 9 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆103Updated 2 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
- This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.☆90Updated 4 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 5 years ago
- ☆18Updated 8 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 4 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆246Updated 6 years ago
- SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising☆50Updated 8 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆51Updated 6 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- Yahoo! news article recommendation system by linUCB☆114Updated 7 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- papers we read about Recommendation Advertising & Search☆31Updated 4 years ago
- ☆62Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆111Updated 3 years ago
- Factorization Machines implementation with Tensorflow☆143Updated 6 years ago