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rrecsys
View on CRAN: Click
here
Download and install rrecsys package within the R console
Install from CRAN:
install.packages("rrecsys")
Install from Github:
library("remotes")
install_github("cran/rrecsys")
Install by package version:
library("remotes")
install_version("rrecsys", "0.9.7.3.1")
Attach the package and use:
library("rrecsys")
Maintained by
Ludovik Çoba
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rrecsys . https://github.com/ludovikcoba/rrecsys/issues . https://rrecsys.inf.unibz.it/ . rrecsys results . rrecsys.pdf . Introduction and Installing rrecsys . A data set in rrecsys . Extendind rrecsys . rrecsys_0.9.7.3.1.tar.gz . rrecsys_0.9.7.3.1.zip . rrecsys_0.9.7.3.1.zip . rrecsys_0.9.7.3.1.zip . rrecsys_0.9.7.3.1.tgz . rrecsys_0.9.7.3.1.tgz . rrecsys_0.9.7.3.1.tgz . rrecsys_0.9.7.3.1.tgz . rrecsys_0.9.7.3.1.tgz . rrecsys_0.9.7.3.1.tgz . rrecsys archive . https://CRAN.R-project.org/package=rrecsys .
First Published: 2016-04-05
Latest Update: 2019-06-09
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) ) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) ) is intended for rapid prototyping of recommendation algorithms and education purposes.
How to cite:
Ludovik Çoba (2016). rrecsys: Environment for Evaluating Recommender Systems. R package version 0.9.7.3.1, https://cran.r-project.org/web/packages/rrecsys. Accessed 16 Mar. 2025.
Previous versions and publish date:
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Complete documentation for rrecsys
Functions, R codes and Examples using
the rrecsys R package
Some associated functions: BPRclass . IBclass . PPLclass . SVDclass . UBclass . algAverageClass . dataChart . dataSet-class . defineData . ds-class . evalChart . evalModel-class . evalModel . evalPred . evalRec . evalRecResults . getAUC . histogram . ml100k . mlLatest100k . nDCG . predict . rankScore . recommend . rrecsys . setStoppingCriteria . slopeOneClass . sparseDataSet-class . wALSclass .
Some associated R codes: AAA_classes.R . AAA_generics.R . AAA_registry.R . ALG_BPR.R . ALG_IB_kNN.R . ALG_UB_kNN.R . ALG_average.R . ALG_funkSVD.R . ALG_mostpopular.R . ALG_slopeOne.R . ALG_wALS.R . ALG_weightScheme_for_ALS.R . RcppExports.R . ZZZ.R . calcBias.R . convergence.R . defineData.R . defineMat.R . defineSparseMat.R . evalModel.R . evalPred.R . evalRec.R . eval_getAUC.R . eval_getPrecRecall.R . eval_nDCG.R . eval_rankScore.R . freq_topN.R . plot.R . plot_PopDist_freq.R . plot_histogram.R . plot_longtail.R . plot_topN_popularity.R . prediction.R . recommendHPR.R . recommendMF.R . rrecsys.R . some_handy_functions.R . Full rrecsys package functions and examples
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