#Ctr-prediction
Showing 14 of 14 repositories tagged #ctr-prediction, ranked by stars
A unified, comprehensive and efficient recommendation library
Papers on Computational Advertising
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Recommender Learning with Tensorflow2.x
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
CTR prediction model based on spark(LR, GBDT, DNN)
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
DeepTables: Deep-learning Toolkit for Tabular data
TensorFlow Script
Paper List for Recommend-system PreTrained Models
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
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