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
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.