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recommenderlab (version 0.1-4)
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
0.1-4
License
GPL-2
Homepage
http://R-Forge.R-project.org/projects/recommenderlab/
Maintainer
Michael Hahsler
Last Published
January 13th, 2014
Functions in recommenderlab (0.1-4)
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ratingMatrix-class
Class "ratingMatrix": Virtual Class for Rating Data
topNList-class
Class "topNList": Top-N List
MSWeb
Anonymous web data from www.microsoft.com
calcPredictionError
Calculate the Prediction Error for a Recommendation
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
evaluate
Evaluate a Recommender Models
Recommender
Create a Recommender Model
Recommender-class
Class "Recommender": A Recommender Model
realRatingMatrix-class
Class "realRatingMatrix": Real-valued Rating Matrix
evaluationResults-class
Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
.get_parameters
Helper Functions
Jester5k
Jester dataset (5k sample)
predict
Predict Recommendations
evaluationScheme-class
Class "evaluationScheme": Evaluation Scheme
normalize
Normalize the ratings
dropNA
Sparse Matrix Representation With NAs Not Explicitly Stored
binaryRatingMatrix-class
Class "binaryRatingMatrix": A Binary Rating Matrix
plot
Plot Evaluation Results
MovieLense
MovieLense Dataset (100k)
dissimilarity
Dissimilarity and Similarity Calculation Between Rating Data