huangtinglin/NGCF-PyTorch
PyTorch Implementation for Neural Graph Collaborative Filtering
This project helps e-commerce businesses or content platforms improve their product or content recommendations. It takes historical data of user-item interactions (like purchases, views, or ratings) and generates more accurate suggestions for what users might like. This is useful for data scientists or machine learning engineers working on recommendation systems.
307 stars. No commits in the last 6 months.
Use this if you are a data scientist working with PyTorch and want to experiment with a graph-based collaborative filtering model for recommendations.
Not ideal if you need an out-of-the-box recommendation system without diving into machine learning model implementation details.
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307
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80
Language
Python
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Last pushed
Mar 07, 2021
Commits (30d)
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