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 |
| 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 |
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