Alternatives and similar repositories for KuaiSim

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

• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆184Updated 11 months ago
• chongminggao / KuaiRand
  An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
  ☆105Updated 11 months ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆32Updated last year
• RecFlow-ICLR / RecFlow
  ☆63Updated last year
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆58Updated 4 years ago
• chongminggao / EasyRL4Rec
  ☆115Updated last year
• ksRecoTech / Kuai-RL
  ☆41Updated 2 months ago
• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆78Updated last year
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆233Updated last year
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆75Updated 4 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆107Updated 2 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆82Updated 3 years ago
• tsinghua-fib-lab / Causal-Recommender-Systems
  An index of causal inference based recommendation algorithms (TOIS).
  ☆61Updated last year
• qinjr / RIM
  code for RIM
  ☆22Updated 3 years ago
• reczoo / Datasets
  A curated collection of recommendation datasets with trackable dataset IDs
  ☆71Updated 10 months ago
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 3 years ago
• junwei-pan / RecScope
  ☆25Updated last year
• clabrugere / wukong-recommendation
  Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
  ☆77Updated 11 months ago
• Zziwei / Heater--Cold-Start-Recommendation
  Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
  ☆44Updated 5 years ago
• CharlieMat / KRLBenchmark
  Kuaishou Online RL Benchmark
  ☆18Updated 2 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• yixinwang / causal-recsys-public
  ☆47Updated 3 years ago
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆35Updated 5 years ago
• jizhi-zhang / BiLLP
  ☆35Updated last year
• fanyubupt / KERL
  KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
  ☆50Updated 5 years ago
• Applied-Machine-Learning-Lab / M3oE
  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  ☆46Updated last year
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆131Updated 6 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆75Updated 3 years ago