Alternatives and similar repositories for recommendation_dataset_pretraining

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

• fajieyuan / cross-domain-recommendation
  cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
  ☆44Updated last year
• 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
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆69Updated 3 years ago
• Chain123 / RecGURU
  The source code and dataset for the RecGURU paper (WSDM 2022)
  ☆29Updated 3 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆46Updated 4 years ago
• DyGRec / ASReP
  Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
  ☆51Updated 3 years 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
• fajieyuan / SIGIR2021_Conure
  Pre-training and Lifelong learning for User Embedding and Recommender System
  ☆45Updated last year
• SungMinCho / BERT4Rec-PyTorch
  ☆49Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆74Updated 3 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
• Jaewoong-Lee / sigir_2022_BISER
  ☆22Updated last year
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆35Updated 2 years ago
• CRIPAC-DIG / A-PGNN
  [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…
  ☆84Updated last year
• lileipisces / PETER
  ACL'21 Oral, Personalized Transformer for Explainable Recommendation
  ☆95Updated 8 months ago
• jerryhao66 / Pretrain-Recsys
  ☆34Updated 4 years ago
• xxkkrr / FPAN
  ☆16Updated 4 years ago
• lileipisces / NETE
  CIKM'20, Generate Neural Template Explanations for Recommendation
  ☆23Updated 8 months ago
• layer6ai-labs / MCL
  Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
  ☆12Updated 3 years ago
• XinyuGuan01 / Attentive-Aspect-based-Recommendation-Model
  ☆31Updated 5 years ago
• RuihongQiu / DuoRec
  Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
  ☆113Updated 3 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆14Updated 2 years ago
• voladorlu / MARank
  Multi-order Attentive Ranking Model for Sequential Recommendation
  ☆26Updated 6 years ago
• jin530 / SLIST
  This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"
  ☆33Updated 2 years ago
• wangjlgz / MetaTL
  Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
  ☆21Updated 3 years ago
• SeongKu-Kang / DE-RRD_CIKM20
  DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)
  ☆30Updated 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
• AaronHeee / Query-SeqRec
  PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)
  ☆13Updated 3 years ago