Alternatives and similar repositories for Tree-Based-Feature-Aware-Binning-for-Individual-Uncertainty-Calibration

Users that are interested in Tree-Based-Feature-Aware-Binning-for-Individual-Uncertainty-Calibration are comparing it to the libraries listed below

• Feiyang / MetaEmbedding
  Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
  ☆100Updated 5 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
• racp-submission / racp
  ☆15Updated 4 years ago
• tttwwy / sim
  ☆65Updated 4 years ago
• liangtt677 / JTCN
  ☆10Updated 5 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…
  ☆81Updated 2 years ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆87Updated 2 years ago
• gusuperstar / defer
  ☆52Updated 4 years ago
• ychen216 / DEFUSE
  code of our WWW 2022 paper Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
  ☆32Updated 3 years ago
• alipay / aes_msl_mtl
  ☆19Updated 3 years ago
• baiyimeng / UMC
  The implementation for the work "Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems".
  ☆18Updated 5 months ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 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 …
  ☆29Updated 3 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
• rank2rec / rerank
  ☆82Updated 6 years ago
• onepunch-cyber / PAPERec
  ☆11Updated 4 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆100Updated 5 years ago
• motefly / MVKE
  SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
  ☆45Updated 2 years ago
• oywtece / minet
  MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
  ☆76Updated 4 years ago
• dai08srhg / delayed-feedback-model
  PyTorch implementation of delayed-feedback-model (DFM)
  ☆14Updated 3 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• ptzhangAlg / RecAlg
  ☆31Updated 2 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 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
• yahoo / FmFM
  ☆41Updated 4 years ago
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆54Updated 11 months ago
• dingjingtao / ReinforceNS
  ☆41Updated 6 years ago
• PengjieRen / RepeatNet
  ☆71Updated 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
• vanzytay / WWW2018_LRML
  Implementation of "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"
  ☆38Updated 7 years ago