qian135/ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
This project helps online advertisers and marketers predict which ads or products a user is most likely to click on. By taking historical user interaction data and ad features, it outputs predictions that help optimize ad display strategies. Anyone managing digital advertising campaigns or recommendation systems would find this useful.
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Use this if you need to improve the relevance and performance of your online advertisements or product recommendations by predicting user click-through rates.
Not ideal if you are looking for models beyond click-through rate prediction, such as conversion forecasting or fraud detection.
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Last pushed
Apr 19, 2019
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