danni9594 / ASMGLinks
☆13Updated 4 years ago
Alternatives and similar repositories for ASMG
Users that are interested in ASMG are comparing it to the libraries listed below
Sorting:
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆35Updated 5 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- Symmetric Metric Learning with Adaptive Margin for Recommendation☆36Updated 6 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- ☆22Updated 4 years ago
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- Contrastive Learning for Cold-start Recommendation☆72Updated 4 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 4 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 3 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 5 years ago
- ☆11Updated 4 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆34Updated 7 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆44Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆30Updated 2 years ago
- ☆41Updated 6 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆36Updated 4 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago