Alternatives and similar repositories for DORL-codes

Users that are interested in DORL-codes are comparing it to the libraries listed below

• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆77Updated last year
• RecFlow-ICLR / RecFlow
  ☆62Updated last year
• KingGugu / TiCoSeRec
  Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  ☆65Updated 6 months ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆75Updated 4 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆33Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆75Updated 3 years ago
• chongminggao / KuaiRand
  An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
  ☆102Updated 10 months ago
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆37Updated last year
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆61Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• chongminggao / EasyRL4Rec
  ☆113Updated last year
• Applied-Machine-Learning-Lab / KuaiSim
  ☆31Updated last year
• anzhang314 / BC-Loss
  Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)
  ☆22Updated 2 years ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆178Updated 10 months ago
• jizhi-zhang / BiLLP
  ☆34Updated last year
• BundleRec / bundle_recommendation
  ☆38Updated 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
• YChen1993 / CoSeRec
  Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
  ☆84Updated 3 years ago
• Applied-Machine-Learning-Lab / M3oE
  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  ☆45Updated 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…
  ☆25Updated 2 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆81Updated 3 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• Woeee / FMLP-Rec
  The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"
  ☆48Updated 3 years ago
• RuihongQiu / DuoRec
  Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
  ☆115Updated 3 years ago
• RUCAIBox / FMLP-Rec
  ☆98Updated 3 years ago
• anzhang314 / InvCF
  Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)
  ☆20Updated 2 years ago
• ksRecoTech / Kuai-RL
  ☆40Updated last month
• zzhin / CCFCRec
  ☆27Updated 2 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆42Updated 3 years ago