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recommenderlab (version 0.1-6)

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

0.1-6

License

GPL-2

Maintainer

Michael Hahsler

Last Published

July 2nd, 2015

Functions in recommenderlab (0.1-6)

dissimilarity

Dissimilarity and Similarity Calculation Between Rating Data
.get_parameters

Helper Functions
ratingMatrix-class

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

Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
binaryRatingMatrix-class

Class "binaryRatingMatrix": A Binary Rating Matrix
normalize

Normalize the ratings
evaluationScheme

Creator Function for evaluationScheme
dropNA

Sparse Matrix Representation With NAs Not Explicitly Stored
Jester5k

Jester dataset (5k sample)
predict

Predict Recommendations
evaluate

Evaluate a Recommender Models
plot

Plot Evaluation Results
evaluationResultList-class

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

Create a Recommender Model
MSWeb

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

Class "Recommender": A Recommender Model
MovieLense

MovieLense Dataset (100k)
evaluationScheme-class

Class "evaluationScheme": Evaluation Scheme
calcPredictionAccuracy

Calculate the Prediction Error for a Recommendation
getList

List and Data.frame Representation for Recommender Matrix Objects
realRatingMatrix-class

Class "realRatingMatrix": Real-valued Rating Matrix
topNList-class

Class "topNList": Top-N List