Alternatives and similar repositories for Instrumental-variables-for-recommendation:

Users that are interested in Instrumental-variables-for-recommendation are comparing it to the libraries listed below

• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆47Updated 3 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 3 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆100Updated last year
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆35Updated 5 months ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆75Updated 3 years ago
• lqfarmer / CCDR
  ☆23Updated 2 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆37Updated 2 years ago
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆24Updated last year
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 3 years ago
• Chain123 / RecGURU
  The source code and dataset for the RecGURU paper (WSDM 2022)
  ☆28Updated 2 years ago
• cjx96 / CDRIB
  [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
  ☆29Updated 2 years ago
• gzy-rgb / CauseRec
  ☆32Updated 3 years ago
• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆27Updated 3 years ago
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆35Updated 2 years ago
• tsinghua-fib-lab / Causal-Recommender-Systems
  An index of causal inference based recommendation algorithms (TOIS).
  ☆52Updated 10 months ago
• TiliaceaeSU / PBAT
  Implementation for "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"
  ☆27Updated 11 months ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆67Updated 2 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆69Updated 2 years ago
• Applied-Machine-Learning-Lab / PLATE
  implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023
  ☆14Updated 4 months ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 3 months ago
• demoleiwang / EC4SRec
  Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"
  ☆28Updated 2 years ago
• Wenhui-Yu / TDAR
  code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
  ☆24Updated 4 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆26Updated 2 years ago
• DeerSheep0314 / Re4-Learning-to-Re-contrast-Re-attend-Re-construct-for-Multi-interest-Recommendation
  ☆18Updated 2 years ago
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• JiachengLi1995 / Recformer
  Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation
  ☆63Updated last year
• RUCAIBox / LSVCR
  ☆13Updated 9 months ago
• JacksonWuxs / PromptRec
  Prompting Small Language Models for Personalized Cold-Start Recommendation
  ☆24Updated 10 months ago
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆54Updated 2 years ago
• zc-97 / DPT
  ☆21Updated last year