Alternatives and similar repositories for sampling_cf

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

• usaito / unbiased-implicit-rec
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆26Updated 2 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆14Updated 2 years ago
• JingsenZhang / Recbole-Debias
  RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
  ☆41Updated 2 years ago
• gourabkumarpatro / FairRec_www_2020
  Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
  ☆32Updated 3 years ago
• SeongKu-Kang / DE-RRD_CIKM20
  DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)
  ☆30Updated 2 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
• hasteck / EDLAE_NeurIPS2020
  ☆12Updated 4 years ago
• Yaveng / FIRE
  This is the official implementation of FIRE
  ☆18Updated 11 months ago
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆25Updated 2 years ago
• cydonia999 / variational-autoencoders-for-collaborative-filtering-pytorch
  Implementation of variational autoencoders for collaborative filtering in PyTorch
  ☆25Updated 6 years ago
• js05212 / citeulike-a
  Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)
  ☆45Updated 4 years ago
• jin530 / SWalk
  This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.
  ☆33Updated 2 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
• anzhang314 / BC-Loss
  Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)
  ☆22Updated 2 years ago
• ilya-shenbin / RecVAE
  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
  ☆118Updated last year
• wangjlgz / MetaTL
  Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
  ☆21Updated 3 years ago
• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆28Updated 3 years ago
• Jaewoong-Lee / sigir_2022_BISER
  ☆22Updated last year
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆21Updated 2 years ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆49Updated 3 years ago
• nikolakopoulos / RecWalk
  Implementation of the RecWalk recommendation algorithm
  ☆25Updated 4 months ago
• orcax / CAFE
  Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
  ☆34Updated 4 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated last year
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆69Updated 3 years ago
• rootlu / MetaHIN
  Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
  ☆126Updated 2 years ago
• wenqifan03 / Recommender-System-Datasets
  A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…
  ☆12Updated 5 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• layer6ai-labs / MCL
  Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
  ☆12Updated 3 years ago
• lizli502 / SSE-PT
  ☆60Updated last year