maciejkula/spotlight
Deep recommender models using PyTorch.
This tool helps build recommendation engines that suggest items to users. It takes in historical user interaction data (like purchases, clicks, or ratings) and outputs models that predict what a user might like next. Anyone looking to provide personalized product suggestions, content recommendations, or discover relevant items would find this useful.
3,043 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer focused on rapidly prototyping and exploring various deep learning-based recommender models.
Not ideal if you are looking for an out-of-the-box, plug-and-play recommendation system without needing to dive into model architecture or training.
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3,043
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Language
Python
License
MIT
Category
Last pushed
Dec 21, 2022
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