Dingseewhole / Robust_Deconfounder_masterLinks
☆8Updated 2 years ago
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 2 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆18Updated last year
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- Counterfactual Explainable Recommendation☆48Updated 3 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- ☆9Updated last year
- (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".☆11Updated last year
- 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
- ☆61Updated last year
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- A link to repositories with datasets useful for recommendation tasks☆20Updated last year
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated 2 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- The code for "Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation"☆43Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆17Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆15Updated 2 years ago
- ☆46Updated 3 years ago
- (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17☆11Updated 5 months ago
- ☆10Updated 3 years ago
- ☆24Updated last year
- ☆17Updated 3 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- URLs to each movie from the MovieLens-1M data set☆9Updated 5 years ago