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rrecsys: Environment for Evaluating Recommender Systems

Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi:10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.

Version: 0.9.7.3.1
Depends: R (≥ 3.1.2), registry, MASS, stats, knitr, ggplot2
Imports: methods, Rcpp
LinkingTo: Rcpp
Published: 2019-06-09
DOI: 10.32614/CRAN.package.rrecsys
Author: Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb], Panagiotis Symeonidis [ctb]
Maintainer: Ludovik Çoba <Ludovik.Coba at inf.unibz.it>
BugReports: https://github.com/ludovikcoba/rrecsys/issues
License: GPL-3
URL: https://rrecsys.inf.unibz.it/
NeedsCompilation: yes
CRAN checks: rrecsys results

Documentation:

Reference manual: rrecsys.pdf
Vignettes: Introduction and Installing rrecsys
A data set in rrecsys
Evaluation
Non-personalized recommendations
Item-based k-nearest neighbors
User-based k-nearest neighbors
Simon Funk's SVD
Weighted Alternated Least Squares
Bayesian Personalized Ranking
Dispacher and registry
Predicting & recommending
Extendind rrecsys

Downloads:

Package source: rrecsys_0.9.7.3.1.tar.gz
Windows binaries: r-devel: rrecsys_0.9.7.3.1.zip, r-release: rrecsys_0.9.7.3.1.zip, r-oldrel: rrecsys_0.9.7.3.1.zip
macOS binaries: r-release (arm64): rrecsys_0.9.7.3.1.tgz, r-oldrel (arm64): rrecsys_0.9.7.3.1.tgz, r-release (x86_64): rrecsys_0.9.7.3.1.tgz, r-oldrel (x86_64): rrecsys_0.9.7.3.1.tgz
Old sources: rrecsys archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rrecsys to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.