hand10ryo/PyTorchCML
PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.
This tool helps data miners and recommendation system developers build highly accurate recommendation engines. It takes a list of user-item interactions (like purchases or clicks) and generates 'embeddings' that capture relationships between users and items. These embeddings can then be used to recommend products, content, or connections to users.
No commits in the last 6 months. Available on PyPI.
Use this if you need to build or enhance a recommendation system that provides highly personalized suggestions, such as for e-commerce, content platforms, or social networks.
Not ideal if you're looking for a drag-and-drop solution without needing to write code or understand machine learning concepts.
Stars
20
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jul 16, 2022
Commits (30d)
0
Dependencies
6
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