jiaqima / Off-Policy-2-StageLinks
Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
☆30Updated 5 years ago
Alternatives and similar repositories for Off-Policy-2-Stage
Users that are interested in Off-Policy-2-Stage are comparing it to the libraries listed below
Sorting:
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 5 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 4 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"☆20Updated 6 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆35Updated 5 years ago
- ☆54Updated 6 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 3 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 2 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- ☆83Updated 6 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 3 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆27Updated 3 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- ☆20Updated 5 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆94Updated 2 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 6 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆38Updated 3 years ago
- ☆19Updated 5 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Updated 3 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Updated 5 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- ☆47Updated 4 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 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
- ☆32Updated 3 years ago
- ☆21Updated 3 years ago