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.
Frequently asked
- What is qiaoguan/deep-ctr-prediction?
- Collection of deep learning models for click-through rate prediction in advertising and recommendation systems.
- Is deep-ctr-prediction open source?
- Yes — qiaoguan/deep-ctr-prediction is an open-source project tracked on heatdrop.
- What language is deep-ctr-prediction written in?
- qiaoguan/deep-ctr-prediction is primarily written in Python.
- How popular is deep-ctr-prediction?
- qiaoguan/deep-ctr-prediction has 938 stars on GitHub.
- Where can I find deep-ctr-prediction?
- qiaoguan/deep-ctr-prediction is on GitHub at https://github.com/qiaoguan/deep-ctr-prediction.