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>.
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curl https://depscope.dev/api/check/conda/r-recommenderlabFirst published · 2026-03-14 20:48:14.944000+00:00
Last updated · 2026-03-14 20:58:42.816000+00:00