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recommenderlab (version 0.1-5)

Lab for Developing and Testing Recommender Algorithms

Description

Provides a research infrastructure to test and develop recommender algorithms.

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Version

Install

install.packages('recommenderlab')

Monthly Downloads

1,021

Version

0.1-5

License

GPL-2

Maintainer

Michael Hahsler

Last Published

August 18th, 2014

Functions in recommenderlab (0.1-5)

MovieLense

MovieLense Dataset (100k)
MSWeb

Anonymous web data from www.microsoft.com
Recommender

Create a Recommender Model
plot

Plot Evaluation Results
evaluationResults-class

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

List and Data.frame Representation for Recommender Matrix Objects
dissimilarity

Dissimilarity and Similarity Calculation Between Rating Data
evaluationResultList-class

Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
evaluationScheme-class

Class "evaluationScheme": Evaluation Scheme
evaluate

Evaluate a Recommender Models
topNList-class

Class "topNList": Top-N List
normalize

Normalize the ratings
ratingMatrix-class

Class "ratingMatrix": Virtual Class for Rating Data
binaryRatingMatrix-class

Class "binaryRatingMatrix": A Binary Rating Matrix
dropNA

Sparse Matrix Representation With NAs Not Explicitly Stored
Recommender-class

Class "Recommender": A Recommender Model
predict

Predict Recommendations
realRatingMatrix-class

Class "realRatingMatrix": Real-valued Rating Matrix
evaluationScheme

Creator Function for evaluationScheme
calcPredictionAccuracy

Calculate the Prediction Error for a Recommendation
Jester5k

Jester dataset (5k sample)
.get_parameters

Helper Functions