slimrec: Sparse Linear Method to Predict Ratings and Top-N
Recommendations
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>.
Version: |
0.1.0 |
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) |
Published: |
2017-03-25 |
Author: |
Srikanth KS [aut, cre] |
Maintainer: |
Srikanth KS <sri.teach at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
slimrec results |
Documentation:
Downloads:
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