Alternatives and similar repositories for RecSys21_DIB

Users that are interested in RecSys21_DIB are comparing it to the libraries listed below

• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 2 years ago
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆25Updated 2 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆105Updated 2 years ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆29Updated 4 years ago
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 5 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆76Updated 3 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
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆72Updated 3 years ago
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• yixinwang / causal-recsys-public
  ☆46Updated 3 years ago
• dingjingtao / ReinforceNS
  ☆41Updated 5 years ago
• zyang1580 / SML
  This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
  ☆46Updated 2 years ago
• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆65Updated 4 years ago
• AIflowerQ / InvPref_KDD_2022
  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation
  ☆22Updated 2 years ago
• dongmanqing / Code-for-MAMO
  The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
  ☆53Updated 4 years ago
• Wenhui-Yu / LCFN
  Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…
  ☆78Updated 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"
  ☆31Updated 2 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• tsinghua-fib-lab / DICE
  The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
  ☆155Updated last year
• graytowne / revisit_adv_rec
  A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
  ☆23Updated 3 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆50Updated 5 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 4 years ago
• js05212 / citeulike-a
  Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)
  ☆44Updated 4 years ago
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆35Updated 2 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆18Updated 3 years ago
• alibaba / tgin
  ☆30Updated 4 years ago
• hoyeoplee / MeLU
  ☆178Updated 5 years ago
• fuyuanlyu / OptFS
  This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.
  ☆11Updated last year
• WenjieWWJ / Clickbait
  Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
  ☆26Updated 3 years ago