facebookresearch / AutoCTRLinks
code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/
☆18Updated 4 years ago
Alternatives and similar repositories for AutoCTR
Users that are interested in AutoCTR are comparing it to the libraries listed below
Sorting:
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆64Updated 2 years ago
- Efficient Neural Interaction Functions Search for Collaborative Filtering☆18Updated 5 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆100Updated 5 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- ☆82Updated 6 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆99Updated 4 years ago
- ☆65Updated 4 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 5 years ago
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 6 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- ☆41Updated 4 years ago
- ☆62Updated 6 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆86Updated last year
- distributed version of product-nets☆82Updated 5 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62Updated 5 years ago
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆52Updated 5 years ago
- DHAN code for SIGIR 2020☆45Updated 5 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- ☆31Updated 2 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆39Updated 5 years ago
- MetaBalance algorithm for multi-task learning☆62Updated 3 years ago