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recommenderlab (version 0.1-3)
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
2,656
Version
0.1-3
License
GPL-2
Homepage
http://R-Forge.R-project.org/projects/recommenderlab/
Maintainer
Michael Hahsler
Last Published
November 10th, 2011
Functions in recommenderlab (0.1-3)
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normalize
Normalize the ratings
evaluationResults-class
Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
predict
Predict Recommendations
evaluate
Evaluate a Recommender Models
plot
Plot Evaluation Results
ratingMatrix-class
Class "ratingMatrix": Virtual Class for Rating Data
evaluationScheme
Creator Function for evaluationScheme
getList
List and Data.frame Representation for Recommender Matrix Objects
evaluationResultList-class
Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
realRatingMatrix-class
Class "realRatingMatrix": Real-valued Rating Matrix
calcPredictionError
Calculate the Prediction Error for a Recommendation
Jester5k
Jester dataset (5k sample)
evaluationScheme-class
Class "evaluationScheme": Evaluation Scheme
dissimilarity
Dissimilarity and Similarity Calculation Between Rating Data
binaryRatingMatrix-class
Class "binaryRatingMatrix": A Binary Rating Matrix
topNList-class
Class "topNList": Top-N List
Recommender
Create a Recommender Model
dropNA
Sparse Matrix Representation With NAs Not Explicitly Stored
MovieLense
MovieLense Dataset (100k)
Recommender-class
Class "Recommender": A Recommender Model
MSWeb
Anonymous web data from www.microsoft.com