shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
This project helps data scientists and machine learning engineers quickly build and deploy recommendation systems. It takes historical user interaction data and item information as input, then outputs predictions for which items a user is most likely to click on. This is ideal for anyone working on improving online advertising or e-commerce platforms.
3,389 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly experiment with and implement various state-of-the-art deep learning models for predicting click-through rates.
Not ideal if you are looking for a pre-built, production-ready recommendation system that doesn't require any coding or machine learning expertise.
Stars
3,389
Forks
734
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 02, 2024
Commits (30d)
0
Dependencies
4
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