This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
☆57Feb 22, 2022Updated 4 years ago
Alternatives and similar repositories for MetaHeac
Users that are interested in MetaHeac are comparing it to the libraries listed below
Sorting:
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Jul 25, 2024Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆342Jan 23, 2026Updated last month
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Jun 26, 2020Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆123Oct 19, 2023Updated 2 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Jun 1, 2020Updated 5 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Aug 9, 2021Updated 4 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Mar 15, 2024Updated last year
- Deep Feedback Network for Recommendation☆96Sep 18, 2020Updated 5 years ago
- ☆184Oct 1, 2019Updated 6 years ago
- ☆13Oct 20, 2021Updated 4 years ago
- ☆15Dec 20, 2024Updated last year
- ☆23Dec 5, 2018Updated 7 years ago
- ☆74Dec 27, 2019Updated 6 years ago
- ☆11Oct 9, 2021Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Jul 22, 2020Updated 5 years ago
- ☆33Dec 31, 2021Updated 4 years ago
- ☆14Nov 10, 2021Updated 4 years ago
- ☆31Sep 3, 2023Updated 2 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Jul 22, 2020Updated 5 years ago
- The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow☆34Mar 24, 2020Updated 5 years ago
- Multi-task Learning Model for Recommender Systems☆15Jul 16, 2021Updated 4 years ago
- ☆13Jun 18, 2019Updated 6 years ago
- Official code for the paper: Scaling Transformers for Discriminative Recommendation via Generative Pretraining☆25Sep 1, 2025Updated 6 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆386Nov 8, 2024Updated last year
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆13Sep 27, 2024Updated last year
- qq2018spa☆38Aug 15, 2018Updated 7 years ago
- A Kaggle competition (Rank 37 solution)☆10Oct 21, 2019Updated 6 years ago
- source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)☆17Dec 28, 2021Updated 4 years ago
- AFT model tf code☆18Nov 8, 2021Updated 4 years ago
- paper collection for recommendation aspet☆38Mar 9, 2021Updated 4 years ago
- Curriculum Meta-Learning for Next POI Recommendation☆18Sep 6, 2021Updated 4 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Oct 18, 2021Updated 4 years ago
- ☆24Aug 14, 2024Updated last year
- ☆16Apr 9, 2021Updated 4 years ago
- TensorFlow implementation of GradNorm☆41Mar 24, 2023Updated 2 years ago
- The code of CL4CTR☆48Jul 1, 2023Updated 2 years ago
- ☆291Oct 11, 2019Updated 6 years ago
- Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023☆22Jan 3, 2024Updated 2 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Dec 26, 2020Updated 5 years ago