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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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Version

Install

install.packages('recommenderlab')

Monthly Downloads

1,021

Version

0.1-0

License

GPL-2

Maintainer

Michael Hahsler

Last Published

January 23rd, 2010

Functions in recommenderlab (0.1-0)

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