Alternatives and similar repositories for MetaHeac

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

• oywtece / minet
  MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
  ☆77Updated 3 years ago
• A-bone1 / ESAM
  Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
  ☆58Updated 4 years ago
• tttwwy / sim
  ☆63Updated 4 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆79Updated 3 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆46Updated 5 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
• yahoo / FmFM
  ☆40Updated 4 years ago
• qqxiaochongqq / DFN
  Deep Feedback Network for Recommendation
  ☆94Updated 4 years ago
• cl4ctr / cl4ctr
  The code of CL4CTR
  ☆48Updated last year
• CRIPAC-DIG / Fi_GNN
  [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
  ☆83Updated last year
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆47Updated 5 months ago
• zyli93 / InterHAt
  This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
  ☆40Updated 5 years ago
• THUIR / PreHash
  ☆61Updated 10 months ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated 10 months ago
• mengxiaozhibo / DMIN
  ☆35Updated 4 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆114Updated 4 years ago
• EzailShen / WWW-22-DIHN
  [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
  ☆22Updated 3 years ago
• WeiyuCheng / AFN-AAAI-20
  Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
  ☆38Updated 4 years ago
• zepingyu0512 / sli_rec
  ☆73Updated 5 years ago
• zhijie-ai / Top-K-Off-Policy-Correction-REINFORCE
  ☆24Updated 4 years ago
• Atomu2014 / KNI
  Knowledge-enhanced Neighborhood Interaction model for recommendation
  ☆63Updated 5 years ago
• oywtece / gme
  Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction
  ☆37Updated 3 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆76Updated 2 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 4 years ago
• familyld / DeepCF
  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
  ☆66Updated 2 years ago
• zhuchenxv / AutoFIS
  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
  ☆184Updated 3 years ago
• Z-Y-Zhang / one_epoch_phenomenon
  This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …
  ☆26Updated 2 years ago
• dongmanqing / Code-for-MAMO
  The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
  ☆52Updated 4 years ago
• xidongbo / AITM
  TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…
  ☆112Updated last year