easezyc / MetaHeac
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
☆55Updated 2 years ago
Alternatives and similar repositories for MetaHeac:
Users that are interested in MetaHeac are comparing it to the libraries listed below
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆57Updated 4 years ago
- ☆38Updated last month
- ☆40Updated 3 years ago
- DHAN code for SIGIR 2020☆47Updated 4 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 4 years ago
- ☆61Updated 3 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated 5 months ago
- ☆24Updated 4 years ago
- ☆73Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆112Updated 4 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 4 years ago
- ☆51Updated 5 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 4 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated 8 months ago
- ☆61Updated 5 months ago
- A PyTorch implementation of Ranking Distillation☆86Updated 4 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Dynamic Fair Rankings☆86Updated last year
- papers we read about Recommendation Advertising & Search☆30Updated 4 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆25Updated 2 years ago
- The code of CL4CTR☆49Updated last year
- ☆24Updated 3 years ago
- ☆35Updated 4 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆42Updated last year
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 2 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆37Updated 4 years ago