BartyzalRadek / contextual-bandits-recommenderLinks
Implementing LinUCB and HybridLinUCB in Python.
☆50Updated 7 years ago
Alternatives and similar repositories for contextual-bandits-recommender
Users that are interested in contextual-bandits-recommender are comparing it to the libraries listed below
Sorting:
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆101Updated 3 years ago
- ☆55Updated 5 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Updated 7 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 3 years ago
- An implementation of "Recurrent Recommender Networks" with Tensorflow.☆33Updated 7 years ago
- ☆38Updated 3 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- ☆46Updated 3 years ago
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆39Updated 4 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 5 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- Yahoo! news article recommendation system by linUCB☆112Updated 7 years ago
- ☆49Updated 2 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆246Updated 6 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 4 years ago
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆119Updated 5 years ago
- SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.☆17Updated 5 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- Dataset Batch(offline) Reinforcement Learning for recommender system☆153Updated 4 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆42Updated 7 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- Deep Reinforcement Learning for Movies Recommendation System☆80Updated 5 years ago
- ☆24Updated 4 years ago
- ☆71Updated 5 years ago
- PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)☆147Updated 6 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- ☆35Updated 6 years ago