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

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:

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