recommenderlab

cranv1.0.7

Lab for Developing and Testing Recommender Algorithms. Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.

License GPL-2strong copyleft0 versions1 maintainers10 deps365 weekly dl
mhahsler/recommenderlab
42
/ 100
Health
safe to use

[email protected] is safe to use (health: 42/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
4/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (10)
MatrixarulesproxyregistrymethodsutilsstatsirlbarecosystemmatrixStats
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First published · 2025-05-31 21:49:40

Last updated · 2025-05-31T20:20:02+00:00