Dataset-independent tensorflow implementation of DIN (Deep Interest Network for Click-Through Rate Prediction), appliable for any inputs.
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Updated
Jan 14, 2022 - Python
Dataset-independent tensorflow implementation of DIN (Deep Interest Network for Click-Through Rate Prediction), appliable for any inputs.
A easy library for recommendation system or computational advertising
主流推荐系统Rank算法的实现
Deep-Learning based CTR models implemented by PyTorch
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB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。
TensorFlow Script
A framework for large scale recommendation algorithms.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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