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recommenderlab (version 0.1-0)
Lab for Testing and Developing Recommender Algorithms for Binary Data
Description
Provides a research infrastructure to test and develop recommender algorithms. Currently the focus is on recommender systems for binary data.
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Install
install.packages('recommenderlab')
Monthly Downloads
2,656
Version
0.1-0
License
GPL-2
Maintainer
Michael Hahsler
Last Published
January 23rd, 2010
Functions in recommenderlab (0.1-0)
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ratingMatrix-class
Class "ratingMatrix": Virtual Class for Rating Data
LIST
List Representation for Recommender Matrix Objects
dissimilarity
Dissimilarity Calculation Between Rating Data
evaluationResults-class
Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
MovieLense
MovieLense Dataset (100k)
Recommender
Create a Recommender Model
plot
Plot Evaluation Results
evaluationScheme-class
Class "evaluationScheme": Evaluation Scheme
binaryRatingMatrix-class
Class "binaryRatingMatrix": A Binary Rating Matrix
topNList-class
Class "topNList": Top-N List
evaluationResultList-class
Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
evaluationScheme
Create an Evaluation Scheme
Recommender-class
Class "Recommender": A Recommender Model
MSWeb
Anonymous web data from www.microsoft.com
realRatingMatrix-class
Class "realRatingMatrix": Real-valued Rating Matrix
evaluate
Evaluate a Recommender Models
predict
Predict Recommendations