DongHande / AutoDebias
This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
☆107Updated 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…☆104Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆88Updated 4 months ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆154Updated 11 months ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆75Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- ☆46Updated 3 years ago
- ☆47Updated 7 months ago
- Collection of diverse recommendation papers☆62Updated last year
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆26Updated 2 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- A box of core libraries for recommendation model development☆91Updated 6 months ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆126Updated 4 years ago
- An unofficial pytorch implementation of MELU☆45Updated 8 months ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆89Updated 3 weeks ago
- ☆41Updated 5 years ago
- ☆174Updated 3 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- ☆103Updated 2 years ago
- ☆49Updated 9 months ago