Dingseewhole / Robust_Deconfounder_masterLinks
☆8Updated last year
Alternatives and similar repositories for Robust_Deconfounder_master
Users that are interested in Robust_Deconfounder_master are comparing it to the libraries listed below
Sorting:
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- Counterfactual Explainable Recommendation☆48Updated 3 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆16Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆17Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".☆11Updated last year
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆15Updated last year
- ☆9Updated 11 months ago
- A link to repositories with datasets useful for recommendation tasks☆20Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- ☆24Updated last year
- ☆10Updated 3 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- The code for ICLR2025 paper "SLMRec: Empowering Small Language Models for Sequential Recommendation".☆28Updated last month
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- Models for explainable recommendation.☆11Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- This is our implementation of IntEL-Intent-aware Ranking Ensemble for Personalized Recommendation (SIGIR2023)☆22Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- This is the source code of PFRec☆14Updated 2 years ago
- ☆23Updated 2 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated last year
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22Updated last year