Package: rrecsys
Type: Package
Title: Environment for Evaluating Recommender Systems
Version: 0.9.7.3.1
Date: 2018-02-10
Authors@R: c(person("Ludovik","Çoba", role=c("aut","cre","cph"), email="Ludovik.Coba@inf.unibz.it"), 
             person("Markus","Zanker", role="ctb",email="Markuz.Zanker@unibz.it"),
             person("Panagiotis","Symeonidis", role="ctb",email="Panagiotis.Symeonidis@unibz.it"))
URL: https://rrecsys.inf.unibz.it/
BugReports: https://github.com/ludovikcoba/rrecsys/issues
Description: 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. 
Imports: methods, Rcpp
Depends: R (>= 3.1.2), registry, MASS, stats, knitr, ggplot2
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
Repository: CRAN
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-06-09 18:34:13 UTC; hornik
Author: Ludovik Çoba [aut, cre, cph],
  Markus Zanker [ctb],
  Panagiotis Symeonidis [ctb]
Maintainer: Ludovik Çoba <Ludovik.Coba@inf.unibz.it>
Date/Publication: 2019-06-09 18:45:49 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 08:24:02 UTC; windows
Archs: i386, x64
