alipay / MMLRec-A-Unified-Multi-Task-and-Multi-Scenario-Learning-Benchmark-for-RecommendationLinks
☆19Updated 11 months ago
Alternatives and similar repositories for MMLRec-A-Unified-Multi-Task-and-Multi-Scenario-Learning-Benchmark-for-Recommendation
Users that are interested in MMLRec-A-Unified-Multi-Task-and-Multi-Scenario-Learning-Benchmark-for-Recommendation are comparing it to the libraries listed below
Sorting:
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆55Updated last year
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆53Updated 2 months ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆86Updated last year
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆36Updated last year
- 推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆227Updated 2 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆75Updated 5 years ago
- Share Some Recommender System Paper I read.☆69Updated 4 years ago
- multi task mode for esmm and mmoe☆147Updated 4 years ago
- ☆26Updated 3 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆115Updated last year
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆28Updated last year
- ☆255Updated 11 months ago
- The code of GDCN☆40Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 5 years ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）☆264Updated 2 months ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆325Updated 2 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆220Updated 3 years ago
- ☆107Updated 2 months ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆296Updated 3 years ago
- [TOIS 2024] Contrast-enhanced Through Network for CTR Prediction☆15Updated 11 months ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆80Updated last year
- DDPM☆15Updated 2 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆138Updated 2 years ago
- The code of CL4CTR☆48Updated 2 years ago
- ☆24Updated 11 months ago
- Code for paper: Learning to Build User-tag Profile in Recommendation System☆31Updated 2 years ago