Alternatives and similar repositories for InvPref_KDD_2022

Users that are interested in InvPref_KDD_2022 are comparing it to the libraries listed below

• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 3 years ago
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆25Updated last year
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆29Updated 4 years ago
• Zziwei / Item-Underrecommendation-Bias
  Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems
  ☆15Updated 5 years ago
• Ethan00Si / Instrumental-variables-for-recommendation
  The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
  ☆30Updated 2 years ago
• BetsyHJ / DANCER
  ☆9Updated 3 years ago
• yixinwang / causal-recsys-public
  ☆46Updated 3 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆76Updated 3 years ago
• Linxyhaha / COR
  Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
  ☆16Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆71Updated 3 years ago
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 4 years ago
• zyang1580 / SML
  This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
  ☆45Updated last year
• usaito / unbiased-implicit-rec
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆25Updated 2 years ago
• yaochenzhu / PSF-VAE
  (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".
  ☆11Updated last year
• ksRecoTech / Kuai-RL
  ☆25Updated 3 months ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆18Updated 3 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• JingsenZhang / Recbole-Debias
  RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
  ☆40Updated 2 years ago
• wangjlgz / MetaTL
  Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
  ☆21Updated 3 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 3 years ago
• anananan116 / MBGen
  [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"
  ☆33Updated 8 months ago
• Dingseewhole / Robust_Deconfounder_master
  ☆8Updated last year
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆47Updated 3 years ago
• ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
  Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
  ☆24Updated 2 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆26Updated 2 years ago
• hnjia00 / Delayed-Feedback
  ☆10Updated 3 years ago
• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆28Updated 3 years ago
• RecFlow-ICLR / RecFlow
  ☆46Updated 7 months ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆107Updated 2 years ago
• fuyuanlyu / OptFS
  This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.
  ☆10Updated last year