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implicit

This project provides fast Python implementations of the algorithms described in the paper Collaborative Filtering for Implicit Feedback Datasets and in Applications of the Conjugate Gradient Method for Implicit Feedback Collaborative Filtering

Ecosystem
conda-forge.org
Latest Release
0.5.2
about 4 years ago
Versions
14
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Registry conda-forge.org
Source Repository
Homepage Homepage
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CodeMeta codemeta.json
Package Details
PURL pkg:conda/implicit?repository_url=https://conda-forge.org
spec
License MIT
First Release over 3 years ago
Last Synced 11 days ago
Keywords
collaborative-filtering machine-learning matrix-factorization recommendation recommendation-system recommender-system
Repository
Stars 3,716 on GitHub
Forks 623 on GitHub
Commits 358
Committers 37
Avg per Author 9.676
DDS 0.246
commits.ecosyste.ms
repos.ecosyste.ms
Rankings on conda-forge.org
Forks Top 6.7%