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recommenderlab (version 0.1-7)
Lab for Developing and Testing Recommender Algorithms
Description
Provides a research infrastructure to test and develop recommender algorithms.
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Install
install.packages('recommenderlab')
Monthly Downloads
1,650
Version
0.1-7
License
GPL-2
Homepage
http://R-Forge.R-project.org/projects/recommenderlab/
Maintainer
Michael Hahsler
Last Published
July 24th, 2015
Functions in recommenderlab (0.1-7)
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topNList-class
Class "topNList": Top-N List
MovieLense
MovieLense Dataset (100k)
predict
Predict Recommendations
normalize
Normalize the ratings
evaluationResults-class
Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
evaluate
Evaluate a Recommender Models
realRatingMatrix-class
Class "realRatingMatrix": Real-valued Rating Matrix
dropNA
Sparse Matrix Representation With NAs Not Explicitly Stored
evaluationScheme
Creator Function for evaluationScheme
plot
Plot Evaluation Results
.get_parameters
Helper Functions
dissimilarity
Dissimilarity and Similarity Calculation Between Rating Data
Recommender-class
Class "Recommender": A Recommender Model
evaluationScheme-class
Class "evaluationScheme": Evaluation Scheme
MSWeb
Anonymous web data from www.microsoft.com
Jester5k
Jester dataset (5k sample)
ratingMatrix-class
Class "ratingMatrix": Virtual Class for Rating Data
getList
List and Data.frame Representation for Recommender Matrix Objects
binaryRatingMatrix-class
Class "binaryRatingMatrix": A Binary Rating Matrix
Recommender
Create a Recommender Model
evaluationResultList-class
Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
calcPredictionAccuracy
Calculate the Prediction Error for a Recommendation