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Recommended-System with TensorFlow 2.0

推荐系统的实验;

环境:

Python 3.7;

Tensorflow 2.0;

Neural network-based Collaborative Filtering(NCF)

NCF

Deep Interest Network for Click-Through Rate Prediction(DIN)

DIN

数据集为论文中的Amazon Dataset,下载并解压:

wget -c http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/reviews_Electronics_5.json.gz
gzip -d reviews_Electronics_5.json.gz
wget -c http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/meta_Electronics.json.gz
gzip -d meta_Electronics.json.gz

其中reviews_Electronics_5.json为用户的行为数据,meta_Electronics为广告的元数据。

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