fanoping / DIN-pytorchLinks
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
☆74Updated 5 years ago
Alternatives and similar repositories for DIN-pytorch
Users that are interested in DIN-pytorch are comparing it to the libraries listed below
Sorting:
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆297Updated 3 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆397Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆117Updated last year
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆89Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- DeepFM for CTR prediction problem （pytorch 1.0）☆72Updated 5 years ago
- Deep-Learning based CTR models implemented by PyTorch☆254Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆258Updated 5 years ago
- Deep Feedback Network for Recommendation☆96Updated 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）☆270Updated 4 months ago
- multi task mode for esmm and mmoe☆151Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆221Updated 4 years ago
- ☆105Updated 2 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆378Updated 10 months ago
- Share Some Recommender System Paper I read.☆69Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Must-read papers on Recommender System. 推荐系统相关论文整理（内含40篇论文，并持续更新中）☆91Updated 5 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆446Updated 2 years ago
- A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.☆38Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆164Updated last year
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago