duchao0726 / DUAL
Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
☆63Updated last year
Alternatives and similar repositories for DUAL:
Users that are interested in DUAL are comparing it to the libraries listed below
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- ☆40Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆88Updated 4 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- Dynamic Fair Rankings☆85Updated last year
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆55Updated 2 years ago
- ☆61Updated 6 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- ☆51Updated 3 years ago
- ☆61Updated 3 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated 6 months ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆26Updated 2 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆77Updated last year
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- ☆81Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 4 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆37Updated 4 years ago
- ☆41Updated 2 months ago
- DHAN code for SIGIR 2020☆47Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆105Updated 2 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated 9 months ago
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- ☆12Updated 2 years ago
- ☆35Updated 4 years ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆58Updated 2 months ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- ☆24Updated 4 years ago