Prayforhanluo/CTR_Algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)

41
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Emerging

This project provides implementations of various algorithms used to predict whether a user will click on an ad or recommended item. You input user behavior data and item information, and it helps you understand which ads or content are most likely to grab attention. This is for data scientists and machine learning engineers working on online advertising, e-commerce, or content recommendation systems.

275 stars. No commits in the last 6 months.

Use this if you need to quickly implement and experiment with a wide range of established click-through rate (CTR) prediction models for your recommendation or advertising platform.

Not ideal if you are looking for a plug-and-play solution without any coding or machine learning expertise.

ad-tech recommendation-systems e-commerce-optimization user-engagement digital-marketing
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 21 / 25

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275

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51

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License

Last pushed

May 09, 2025

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