shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
This package helps e-commerce and advertising professionals improve how well they predict if a user will click on an item or ad. By taking historical user interaction data and item information, it uses advanced deep learning models to generate more accurate click-through rate (CTR) predictions. This is for data scientists and machine learning engineers working on recommendation systems or online advertising platforms.
8,007 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build or experiment with deep learning models for predicting user click-through rates on products or advertisements.
Not ideal if you are not comfortable working with machine learning models and require an out-of-the-box, no-code solution for CTR prediction.
Stars
8,007
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2,232
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 09, 2024
Commits (30d)
0
Dependencies
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