CHIANGEL / GraphCM

Related projects: ⓘ

• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆27Updated 3 years ago
• qinjr / RIM
  code for RIM
  ☆22Updated last year
• chenchongthu / Recommendation-Unlearning
  ☆36Updated 9 months ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆17Updated 4 years ago
• ACMRecSys / recsys-datasets
  A link to repositories with datasets useful for recommendation tasks
  ☆19Updated last year
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆22Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆67Updated 2 years ago
• AIflowerQ / InvPref_KDD_2022
  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation
  ☆21Updated 2 years ago
• yuan-pku / Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation
  ☆15Updated 4 years ago
• StatsDLMathsRecomSys / Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
  ☆22Updated 3 years ago
• zuohuif / FairKG4Rec
  ☆18Updated this week
• wuch15 / AAAI-FairRec
  Fairrec: fairness-aware news recommendation with decomposed adversarial learning
  ☆15Updated 3 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated 6 months ago
• sisinflab / amlrecsys-tutorial
  Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…
  ☆25Updated 3 years ago
• orcax / CAFE
  Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
  ☆31Updated 3 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆32Updated 3 years ago
• wangjlgz / MetaTL
  Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
  ☆19Updated 2 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆28Updated 3 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
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 2 years ago
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆18Updated 2 years ago
• tsinghua-fib-lab / WTG-DVR
  The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)
  ☆15Updated last year
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆22Updated last year
• qinjr / RankFlow
  ☆12Updated last year
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆20Updated 3 years ago
• hieptk / accent
  ☆15Updated 3 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆12Updated 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
• lileipisces / NETE
  CIKM'20, Generate Neural Template Explanations for Recommendation
  ☆22Updated 2 years ago
• usaito / unbiased-implicit-rec-real
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆30Updated last year