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slimrec  

Sparse Linear Method to Predict Ratings and Top-N Recommendations
View on CRAN: Click here


Download and install slimrec package within the R console
Install from CRAN:
install.packages("slimrec")

Install from Github:
library("remotes")
install_github("cran/slimrec")

Install by package version:
library("remotes")
install_version("slimrec", "0.1.0")



Attach the package and use:
library("slimrec")
Maintained by
Srikanth KS
[Scholar Profile | Author Map]
First Published: 2017-03-25
Latest Update: 2017-03-25
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>.
How to cite:
Srikanth KS (2017). slimrec: Sparse Linear Method to Predict Ratings and Top-N Recommendations. R package version 0.1.0, https://cran.r-project.org/web/packages/slimrec. Accessed 23 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited slimrec R package
View slimrec citation profile
Other R packages that slimrec depends, imports, suggests or enhances
Complete documentation for slimrec
Functions, R codes and Examples using the slimrec R package
Some associated functions: ft_explicit . ft_implicit . ft_small . slim . slimrec-package . top_cols . top_rows . tune_slim . 
Some associated R codes: ft_explicit.R . ft_implicit.R . ft_small.R . package_slimrec.R . slim.R . top_cols.R . top_rows.R . tune_slim.R .  Full slimrec package functions and examples
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