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apc

This is an implementation for our SIGIR2023 paper "Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation" based on PyTorch.

awesome-causality-algorithms

An index of algorithms for learning causality with data

causal-data-science-perspective

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

collm

The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".

cvib-rec

Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.

dcr

This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.

dil

This is an implementation for our SIGIR 2023 paper "Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation" based on PyTorch.

hrm

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

interd_master

lightgcn

macr

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System, KDD 2021

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

pagnn_

pda

This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

recdebiasing

This repository collects debiasing methods for recommendation

sml

This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.