qiaoguan/deep-ctr-prediction
Collection of deep learning models for click-through rate prediction in advertising and recommendation systems.

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This repository provides TensorFlow implementations of various deep learning architectures for CTR (Click-Through Rate) prediction in advertising. It includes models such as Wide&Deep, DeepFM, xDeepFM, Deep Interest Network, ESMM, AFM, FiBiNET, and Transformer-based architectures. The code uses tf.estimator API with tfrecord data format and tf.Dataset for efficient data loading, designed for industrial-scale applications.