Alternatives and similar repositories for Personalized-Counterfactual-Fairness-in-Recommendation:

Users that are interested in Personalized-Counterfactual-Fairness-in-Recommendation are comparing it to the libraries listed below

• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆28Updated 3 years ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆47Updated 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
• yaochenzhu / PSF-VAE
  (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".
  ☆11Updated last year
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated last year
• Zziwei / Item-Underrecommendation-Bias
  Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems
  ☆15Updated 4 years ago
• TangJiakai / RecBole-FairRec
  Implement Fair Recommendation Model In RecBole
  ☆26Updated 2 years ago
• lileipisces / NETE
  CIKM'20, Generate Neural Template Explanations for Recommendation
  ☆22Updated 2 months ago
• YangZhengyi98 / DROS
  ☆34Updated last year
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 3 years ago
• wuch15 / AAAI-FairRec
  Fairrec: fairness-aware news recommendation with decomposed adversarial learning
  ☆15Updated 3 years ago
• lileipisces / EXTRA
  SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation
  ☆31Updated 2 months ago
• gusye1234 / recad
  A unified framework for recommender system attacking
  ☆30Updated last year
• YangZhengyi98 / RecInterpreter
  ☆24Updated last year
• Stevenn9981 / PPAC
  ☆12Updated last year
• newlei / FDA
  Improving Recommendation Fairness via Data Augmentation-WWW23
  ☆13Updated last year
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆36Updated 8 months ago
• TempSDU / STEAM
  ☆10Updated 2 years ago
• JiachengLi1995 / Recformer
  Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation
  ☆64Updated last year
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆29Updated 8 months ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆67Updated 2 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
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆49Updated 4 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆76Updated 3 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆71Updated 3 years ago
• Applied-Machine-Learning-Lab / LinRec
  ☆19Updated last week
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated 2 years ago
• evison / Sentires
  Sentires: A Toolkit for Phrase-level Sentiment Analysis
  ☆51Updated 3 years ago
• TiliaceaeSU / PBAT
  Code for MM'23 paper "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"
  ☆28Updated last year
• Applied-Machine-Learning-Lab / PLATE
  implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023
  ☆14Updated 6 months ago