Learn R Programming
⚠️There's a newer version (1.0.6) of this package.Take me there.

recommenderlab (version 0.1-9)

Lab for Developing and Testing Recommender Algorithms

Description

Provides a research infrastructure to test and develop recommender algorithms including UBCF, IBCF, FunkSVD and association rule-based algorithms.

Copy Link

Version

Install

install.packages('recommenderlab')

Monthly Downloads

957

Version

0.1-9

License

GPL-2

Maintainer

Michael Hahsler

Last Published

May 19th, 2016

Functions in recommenderlab (0.1-9)

Error

Error Calculation
funkSVD

Funk SVD for Matrices with Missing Data
getList

List and Data.frame Representation for Recommender Matrix Objects
dissimilarity

Dissimilarity and Similarity Calculation Between Rating Data
ratingMatrix

Class "ratingMatrix": Virtual Class for Rating Data
MovieLense

MovieLense Dataset (100k)
Recommender

Create a Recommender Model
Jester5k

Jester dataset (5k sample)
plot

Plot Evaluation Results
MSWeb

Anonymous web data from www.microsoft.com
evaluationResults-class

Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
predict

Predict Recommendations
normalize

Normalize the ratings
evaluationScheme

Creator Function for evaluationScheme
Recommender-class

Class "Recommender": A Recommender Model
binaryRatingMatrix

Class "binaryRatingMatrix": A Binary Rating Matrix
evaluationResultList-class

Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
topNList

Class "topNList": Top-N List
sparseNAMatrix-class

Sparse Matrix Representation With NAs Not Explicitly Stored
calcPredictionAccuracy

Calculate the Prediction Error for a Recommendation
evaluationScheme-class

Class "evaluationScheme": Evaluation Scheme
realRatingMatrix

Class "realRatingMatrix": Real-valued Rating Matrix
evaluate

Evaluate a Recommender Models