Provides implementations of several popular recommendation systems. They can process standard recommendation datasets (user/item matrix) as input and generate rating predictions and recommendation lists. Standard algorithm implementations included in this package are: Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology for recommender systems using measures such as MAE, RMSE, Precision, Recall, AUC, NDCG, RankScore and coverage measures. The package is intended for rapid prototyping of recommendation algorithms and education purposes.
| Version: | 0.9.5.4 |
| Depends: | R (≥ 3.1.2), registry, proxy, MASS, stats, knitr |
| Imports: | methods |
| Suggests: | covr |
| Published: | 2016-06-27 |
| Author: | Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb] |
| Maintainer: | Ludovik Çoba <lcoba at unishk.edu.al> |
| BugReports: | https://github.com/ludovikcoba/rrecsys/issues |
| License: | GPL-3 |
| URL: | https://github.com/ludovikcoba/rrecsys |
| NeedsCompilation: | no |
| CRAN checks: | rrecsys results |
| Reference manual: | rrecsys.pdf |
| Vignettes: |
0. Introduction and Installing rrecsys 1. A data set in rrecsys 2. Dispacher and registry 3. Non-personalized recommendations 4. Item-based k-nearest neighbors 5. Iterative updates for FunkSVD, BPR & wALS 6. Simon Funk's SVD 7. Bayesian Personalized Ranking 7. Weighted Alternated Least Squares 9. Predicting & recommending 10. Evaluation 11. Extendind rrecsys |
| Package source: | rrecsys_0.9.5.4.tar.gz |
| Windows binaries: | r-devel: rrecsys_0.9.5.4.zip, r-release: rrecsys_0.9.5.4.zip, r-oldrel: rrecsys_0.9.5.4.zip |
| OS X Mavericks binaries: | r-release: rrecsys_0.9.5.4.tgz, r-oldrel: rrecsys_0.9.5.4.tgz |
| Old sources: | rrecsys archive |
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