DongHande / AutoDebias
This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
☆105Updated 2 years ago
Alternatives and similar repositories for AutoDebias:
Users that are interested in AutoDebias are comparing it to the libraries listed below
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆102Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆152Updated 9 months ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆42Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆70Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆83Updated 2 months ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆75Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆110Updated 4 years ago
- ☆46Updated 2 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- ☆42Updated 5 months ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- An unofficial pytorch implementation of MELU☆45Updated 7 months ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆43Updated last year
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆106Updated 4 years ago
- PyTorch implementation GRU4Rec model☆15Updated 4 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆144Updated 2 months ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆26Updated 2 years ago
- ☆41Updated 5 years ago
- A box of core libraries for recommendation model development☆91Updated 5 months ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆124Updated 4 years ago