Package: recommenderlab 1.0.6

recommenderlab: Lab for Developing and Testing Recommender Algorithms

Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.

Authors:Michael Hahsler [aut, cre, cph], Bregt Vereet [ctb]

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recommenderlab.pdf |recommenderlab.html✨
recommenderlab/json (API)
NEWS

# Install 'recommenderlab' in R:

install.packages('recommenderlab', repos = c('https://mhahsler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mhahsler/recommenderlab/issues

Datasets:

Jester5k - Jester dataset
JesterJokes - Jester dataset
MSWeb - Anonymous web data from www.microsoft.com
MovieLense - MovieLense Dataset
MovieLenseMeta - MovieLense Dataset
MovieLenseUser - MovieLense Dataset

On CRAN:

collaborative-filtering recommender-system

49 exports 211 stars 5.65 score 12 dependencies 2 dependents 1 mentions 1.6k downloads

Last updated 4 months agofrom:83f81f2a52

Exports:avg bestN binarize calcPredictionAccuracy coerce colCounts colSds denormalize dissimilarity dropNA dropNA2matrix dropNAis.na evaluate evaluationScheme frobenius funkSVD getConfusionMatrix getData getData.frame getList getModel getNormalize getParameters getRatingMatrix getRatings getResults getRuns getTopNLists hasRating HybridRecommender image MAE MSE normalize nratings plot predict Recommender recommenderRegistry removeKnownItems removeKnownRatings returnRatings RMSE rowCounts rowSds sample show similarity summary

Dependencies:arules float generics irlba lattice Matrix matrixStats proxy Rcpp RcppProgress recosystem registry

An introduction to the R package recommenderlab

Rendered fromrecommenderlab.Rnwusingutils::Sweaveon Jul 16 2024.

Last update: 2022-12-14
Started: 2016-05-06

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Class "binaryRatingMatrix": A Binary Rating Matrix	binaryRatingMatrix binaryRatingMatrix-class coerce,binaryRatingMatrix,dgCMatrix-method coerce,binaryRatingMatrix,dgTMatrix-method coerce,binaryRatingMatrix,itemMatrix-method coerce,binaryRatingMatrix,list-method coerce,binaryRatingMatrix,matrix-method coerce,binaryRatingMatrix,ngCMatrix-method coerce,data.frame,binaryRatingMatrix-method coerce,itemMatrix,binaryRatingMatrix-method coerce,matrix,binaryRatingMatrix-method
Calculate the Prediction Error for a Recommendation	calcPredictionAccuracy calcPredictionAccuracy,realRatingMatrix,realRatingMatrix-method calcPredictionAccuracy,topNList,binaryRatingMatrix-method calcPredictionAccuracy,topNList,realRatingMatrix-method
Dissimilarity and Similarity Calculation Between Rating Data	dissimilarity dissimilarity,binaryRatingMatrix-method dissimilarity,realRatingMatrix-method similarity similarity,ratingMatrix-method
Error Calculation	frobenius MAE MSE RMSE
Evaluate a Recommender Models	evaluate evaluate,evaluationScheme,character-method evaluate,evaluationScheme,list-method
Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods	avg,evaluationResultList-method coerce,list,evaluationResultList-method evaluationResultList-class show,evaluationResultList-method [,evaluationResultList,ANY,missing,missing-method
Class "evaluationResults": Results of the Evaluation of a Single Recommender Method	avg avg,evaluationResults-method confusionMatrix-class evaluationResults-class getConfusionMatrix getConfusionMatrix,evaluationResults-method getModel getModel,evaluationResults-method getResults getResults,evaluationResults-method getRuns getRuns,evaluationResults-method show,evaluationResults-method
Creator Function for evaluationScheme	evaluationScheme evaluationScheme,ratingMatrix-method
Class "evaluationScheme": Evaluation Scheme	evaluationScheme-class getData getData,evaluationScheme-method show,evaluationScheme-method
Funk SVD for Matrices with Missing Data	funkSVD predict.funkSVD
List and Data.frame Representation for Recommender Matrix Objects	getData.frame getData.frame,ratingMatrix-method getList getList,binaryRatingMatrix-method getList,realRatingMatrix-method getList,topNList-method
Create a Hybrid Recommender	HybridRecommender
Internal Utility Functions	getParameters returnRatings
Jester dataset (5k sample)	Jester5k JesterJokes
MovieLense Dataset (100k)	MovieLense MovieLenseMeta MovieLenseUser
Anonymous web data from www.microsoft.com	MSWeb
Normalize the ratings	denormalize denormalize,realRatingMatrix-method normalize normalize,realRatingMatrix-method
Plot Evaluation Results	plot plot,evaluationResultList-method plot,evaluationResults-method
Predict Recommendations	predict predict,Recommender-method
Class "ratingMatrix": Virtual Class for Rating Data	coerce,ratingMatrix,data.frame-method coerce,ratingMatrix,list-method colCounts colCounts,ratingMatrix-method colMeans,ratingMatrix-method dim,ratingMatrix-method dimnames,ratingMatrix-method dimnames<-,ratingMatrix,list-method getNormalize getNormalize,ratingMatrix-method getRatingMatrix getRatingMatrix,ratingMatrix-method getRatings getRatings,ratingMatrix-method hasRating hasRating,ratingMatrix-method image,ratingMatrix-method nratings nratings,ratingMatrix-method ratingMatrix ratingMatrix-class rowCounts rowCounts,ratingMatrix-method rowMeans,ratingMatrix-method sample,ratingMatrix-method show,ratingMatrix-method [,ratingMatrix,ANY,ANY,ANY-method
Class "realRatingMatrix": Real-valued Rating Matrix	binarize binarize,realRatingMatrix-method coerce,data.frame,realRatingMatrix-method coerce,dgCMatrix,realRatingMatrix-method coerce,dgTMatrix,realRatingMatrix-method coerce,matrix,realRatingMatrix-method coerce,realRatingMatrix,data.frame-method coerce,realRatingMatrix,dgCMatrix-method coerce,realRatingMatrix,dgTMatrix-method coerce,realRatingMatrix,matrix-method coerce,realRatingMatrix,ngCMatrix-method colSds colSds,realRatingMatrix-method getTopNLists getTopNLists,realRatingMatrix-method realRatingMatrix realRatingMatrix-class removeKnownRatings removeKnownRatings,realRatingMatrix-method rowSds rowSds,realRatingMatrix-method [<-,realRatingMatrix,ANY,ANY,ANY-method
Create a Recommender Model	getModel,Recommender-method Recommender Recommender,ratingMatrix-method recommenderRegistry
Class "Recommender": A Recommender Model	Recommender-class show,Recommender-method
Sparse Matrix Representation With NAs Not Explicitly Stored	dropNA dropNA2matrix dropNAis.na
Class "topNList": Top-N List	bestN bestN,topNList-method c,topNList-method coerce,topNList,dgCMatrix-method coerce,topNList,dgTMatrix-method coerce,topNList,list-method coerce,topNList,matrix-method coerce,topNList,ngCMatrix-method coerce,topNList,realRatingMatrix-method colCounts,topNList-method length,topNList-method removeKnownItems removeKnownItems,topNList-method rowCounts,topNList-method show,topNList-method topNList topNList-class