BARS: Towards Open Benchmarking for Recommender Systems https://openbenc...
MLGB is a library that includes many models of CTR Prediction & Recommen...
Wide and Deep Learning for CTR Prediction in tensorflow
4th Place Solution for Mercari Price Suggestion Competition on Kaggle us...
A collection of research and application papers of (uncertainty) calibra...
MTReclib provides a PyTorch implementation of multi-task recommendation ...
Deep-Learning based CTR models implemented by PyTorch
推荐系统修炼手册
Lifelong sequential modeling for user response prediction. A comprehensi...
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR...
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions ...
The collection of papers about recommender system
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