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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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Install
install.packages('recommenderlab')
Monthly Downloads
2,333
Version
0.1-6
License
GPL-2
Homepage
http://R-Forge.R-project.org/projects/recommenderlab/
Maintainer
Michael Hahsler
Last Published
July 2nd, 2015
Functions in recommenderlab (0.1-6)
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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