BetsyHJ / SOFALinks
A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
☆21Updated 4 years ago
Alternatives and similar repositories for SOFA
Users that are interested in SOFA are comparing it to the libraries listed below
Sorting:
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆24Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 5 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- ☆55Updated 6 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- ☆20Updated 5 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 5 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- Source codes for our SIGIR '23 paper☆31Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 2 years ago
- ☆41Updated 6 years ago
- ☆28Updated last year
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- Scalable Recommendation Algorithms☆35Updated 5 years ago
- ☆46Updated 3 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆57Updated 3 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- ☆22Updated 4 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago