hexiangnan/neural_collaborative_filtering
Neural Collaborative Filtering
This project helps e-commerce managers, content curators, and streaming service providers improve their recommendation systems. It takes historical user interaction data (like movie ratings or item purchases) and outputs a model that can predict what items a user is most likely to engage with next. This allows for more personalized recommendations to individual users.
1,871 stars. No commits in the last 6 months.
Use this if you want to generate better item recommendations for your users based on their past implicit feedback, such as clicks or views.
Not ideal if you need a recommendation system that explicitly accounts for user reviews or sentiment, or if you're not comfortable with Python and Keras.
Stars
1,871
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667
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 27, 2022
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