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recommenderlab (version 0.1-2)

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

0.1-2

License

GPL-2

Maintainer

Michael Hahsler

Last Published

February 27th, 2011

Functions in recommenderlab (0.1-2)

Recommender

Create a Recommender Model

Recommender-class

Class "Recommender": A Recommender Model

evaluationScheme-class

Class "evaluationScheme": Evaluation Scheme

ratingMatrix-class

Class "ratingMatrix": Virtual Class for Rating Data

predict

Predict Recommendations

realRatingMatrix-class

Class "realRatingMatrix": Real-valued Rating Matrix

evaluationResults-class

Class "evaluationResults": Results of the Evaluation of a Single Recommender Method

evaluationResultList-class

Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods

LIST

List Representation for Recommender Matrix Objects

MovieLense

MovieLense Dataset (100k)

plot

Plot Evaluation Results

topNList-class

Class "topNList": Top-N List

evaluate

Evaluate a Recommender Models

binaryRatingMatrix-class

Class "binaryRatingMatrix": A Binary Rating Matrix

evaluationScheme

Create an Evaluation Scheme

MSWeb

Anonymous web data from www.microsoft.com