Package: slimrec
Title: Sparse Linear Method to Predict Ratings and Top-N
        Recommendations
Version: 0.1.0
Authors@R: person("Srikanth", "KS", email = "sri.teach@gmail.com", role = c("aut", "cre"))
Description: Sparse Linear Method(SLIM) predicts ratings and top-n
    recommendations suited for sparse implicit positive feedback systems. SLIM
    is decomposed into multiple elasticnet optimization problems which are solved
    in parallel over multiple cores. The package is based on "SLIM: Sparse Linear
    Methods for Top-N Recommender Systems" by Xia Ning and George Karypis <doi:10.1109/ICDM.2011.134>.
Depends: R (>= 3.3.3), stats (>= 3.3.3)
Imports: assertthat (>= 0.1), parallel (>= 3.3.3), Matrix (>= 1.2.8),
        glmnet (>= 2.0.5), bigmemory (>= 4.5.19), pbapply (>= 1.3.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-24 20:04:49 UTC; talegari
Author: Srikanth KS [aut, cre]
Maintainer: Srikanth KS <sri.teach@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-25 09:27:15 UTC
Built: R 4.6.0; ; 2025-08-18 09:11:31 UTC; unix
