Alternatives and similar repositories for MetaHeac

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

• 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
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆79Updated 4 years ago
• oywtece / minet
  MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
  ☆77Updated 3 years ago
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆51Updated 7 months ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆115Updated 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
• qqxiaochongqq / DFN
  Deep Feedback Network for Recommendation
  ☆95Updated 4 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆46Updated 5 years ago
• tttwwy / sim
  ☆64Updated 4 years ago
• 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
• yahoo / FmFM
  ☆40Updated 4 years ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆87Updated 2 years ago
• reczoo / RecBook
  推荐系统修炼手册
  ☆117Updated 3 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• zhuchenxv / AutoFIS
  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
  ☆184Updated 3 years ago
• LitoWang / recommendation_papers
  paper collection for recommendation aspet
  ☆38Updated 4 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
• qian135 / ctr_model_zoo
  some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…
  ☆70Updated 6 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 …
  ☆28Updated 2 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• cl4ctr / cl4ctr
  The code of CL4CTR
  ☆48Updated 2 years ago
• familyld / DeepCF
  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
  ☆66Updated 3 years ago
• ThyrixYang / es_dfm
  Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…
  ☆80Updated last year
• Feiyang / MetaEmbedding
  Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
  ☆101Updated 5 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆101Updated 4 years ago
• fajieyuan / SIGIR2020_peterrec
  Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
  ☆205Updated 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
• vpetren / gradnorm_tf
  TensorFlow implementation of GradNorm
  ☆41Updated 2 years ago
• duchao0726 / DUAL
  Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
  ☆64Updated 2 years ago
• mengxiaozhibo / DMIN
  ☆35Updated 4 years ago