TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
☆123Oct 19, 2023Updated 2 years ago
Alternatives and similar repositories for AITM
Users that are interested in AITM are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Adaptive Information Transfer Multi-task (AITM)☆19Mar 17, 2022Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆343Jan 23, 2026Updated last month
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Feb 22, 2022Updated 4 years ago
- ☆52Aug 11, 2021Updated 4 years ago
- ☆19May 31, 2022Updated 3 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Mar 15, 2024Updated last year
- ☆19Jan 14, 2023Updated 3 years ago
- Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework☆48Sep 14, 2024Updated last year
- ☆291Oct 11, 2019Updated 6 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Apr 11, 2022Updated 3 years ago
- Sequential deep matching model for recommender system at Alibaba☆209May 19, 2020Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Dec 26, 2020Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Aug 22, 2021Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Mar 31, 2020Updated 5 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆95Oct 10, 2025Updated 4 months ago
- 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.☆2,064Dec 4, 2025Updated 3 months ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Jun 26, 2020Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Feb 6, 2020Updated 6 years ago
- ☆15Jun 2, 2021Updated 4 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆734Mar 25, 2023Updated 2 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆933Nov 15, 2019Updated 6 years ago
- Code for the Paper "ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"☆30Jan 2, 2025Updated last year
- ☆20Aug 18, 2021Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Sep 18, 2020Updated 5 years ago
- ☆65Oct 2, 2024Updated last year
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆80Jul 14, 2021Updated 4 years ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆61Aug 4, 2024Updated last year
- Source code for paper: Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System☆41Oct 27, 2023Updated 2 years ago
- pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"☆57Aug 9, 2024Updated last year
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,000Aug 9, 2024Updated last year
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Dec 7, 2021Updated 4 years ago
- ☆276Feb 14, 2023Updated 3 years ago
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ran…☆2,362Feb 28, 2026Updated last week
- MetaBalance algorithm for multi-task learning☆63Feb 9, 2022Updated 4 years ago
- ☆83Jul 31, 2019Updated 6 years ago
- DDPM☆15Apr 10, 2023Updated 2 years ago
- ☆1,197Mar 6, 2019Updated 7 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,412Apr 26, 2025Updated 10 months ago
- TensorFlow implementation of GradNorm☆41Mar 24, 2023Updated 2 years ago