Alternatives and similar repositories for racp

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

• dingjingtao / ReinforceNS
  ☆41Updated 6 years ago
• wangjiachun0426 / StackRec
  ☆24Updated 4 years ago
• siyongxu / GNUD
  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
  ☆61Updated 4 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆90Updated last year
• EzailShen / WWW-22-DIHN
  [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
  ☆22Updated 3 years ago
• ruizhang-ai / SIGN-Detecting-Beneficial-Feature-Interactions-for-Recommender-Systems
  Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
  ☆33Updated 4 years ago
• XinyuGuan01 / Attentive-Aspect-based-Recommendation-Model
  ☆31Updated 5 years ago
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆79Updated 4 years 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
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• ptzhangAlg / RecAlg
  ☆31Updated 2 years ago
• RUCAIBox / EulerNet
  This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…
  ☆29Updated last year
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆46Updated 4 years ago
• voladorlu / MARank
  Multi-order Attentive Ranking Model for Sequential Recommendation
  ☆26Updated 6 years ago
• alibaba / tgin
  ☆30Updated 4 years ago
• ChuXiaokai / baidu_ultr_dataset
  an unbias-learning-to-rank dataset of Baidu
  ☆65Updated last year
• oywtece / minet
  MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
  ☆77Updated 4 years ago
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 5 years ago
• casperhansen / NeuHash-CF
  Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020
  ☆19Updated 5 years ago
• dongmanqing / Code-for-MAMO
  The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
  ☆54Updated 5 years ago
• onepunch-cyber / PAPERec
  ☆11Updated 4 years ago
• xxkkrr / FPAN
  ☆16Updated 4 years ago
• lqfarmer / CCDR
  ☆24Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• A-bone1 / ESAM
  Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
  ☆58Updated 5 years ago
• zyli93 / InterHAt
  This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
  ☆40Updated 6 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
• THUIR / RuleRec
  ☆59Updated 6 years ago
• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆66Updated 4 years ago