wubinzzu/NeuRec
Next RecSys Library
NeuRec helps businesses and content platforms generate better recommendations for their users. It takes historical user interaction data (like past purchases, viewed items, or click history) and outputs tailored suggestions, such as what product a customer might buy next or what content they'd like to see. This is for anyone in e-commerce, media, or any field that needs to personalize user experiences.
1,064 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to implement or experiment with a wide array of advanced neural network-based recommendation models for general, social, or sequential recommendation tasks.
Not ideal if you need a simple, off-the-shelf recommendation engine without diving into model configuration, or if your primary need is not focused on neural network approaches.
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Python
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Last pushed
Mar 24, 2023
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