Alternatives and similar repositories for KuaiSim:

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

• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆29Updated last year
• chongminggao / KuaiRand
  An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
  ☆80Updated 2 weeks ago
• RecFlow-ICLR / RecFlow
  ☆34Updated 3 months ago
• chongminggao / EasyRL4Rec
  ☆79Updated 9 months ago
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆54Updated 3 years ago
• Applied-Machine-Learning-Lab / RMTL
  ☆24Updated 8 months ago
• ksRecoTech / Kuai-RL
  ☆21Updated 5 months ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆138Updated 2 weeks ago
• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆68Updated last year
• Applied-Machine-Learning-Lab / M3oE
  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  ☆29Updated 4 months ago
• fanyubupt / KERL
  KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
  ☆49Updated 4 years ago
• CharlieMat / KRLBenchmark
  Kuaishou Online RL Benchmark
  ☆18Updated last year
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆75Updated 3 years ago
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 2 years ago
• YangZhengyi98 / DreamRec
  ☆113Updated last year
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 4 years ago
• REASONER2023 / reasoner2023.github.io
  ☆61Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆69Updated 2 years ago
• tsinghua-fib-lab / Causal-Recommender-Systems
  An index of causal inference based recommendation algorithms (TOIS).
  ☆52Updated 10 months ago
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆34Updated 5 months ago
• AIflowerQ / InvPref_KDD_2022
  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation
  ☆21Updated 2 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆105Updated 2 years ago
• SungMinCho / BERT4Rec-PyTorch
  ☆47Updated 5 months 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
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆99Updated last year
• nuster1128 / RecBole-MetaRec
  RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta lea…
  ☆23Updated last year
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated last year
• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆65Updated 3 years ago
• hf4Academic / PRM
  ☆13Updated 3 years ago
• qinjr / RIM
  code for RIM
  ☆22Updated 2 years ago