Recommender: Create a Recommender Model

In audachang/recommenderlab.test: Lab for Developing and Testing Recommender Algorithms

Description

Learns a recommender model from given data.

Usage

Recommender(data, ...)
## S4 method for signature 'ratingMatrix'
Recommender(data, method, parameter=NULL)

Arguments

data	training data.
method	a character string defining the recommender method to use (see details).
parameter	parameters for the recommender algorithm.
...	further arguments.

Details

Recommender uses the registry mechanism from package registry to manage methods. This let's the user easily specify and add new methods. The registry is called recommenderRegistry. See examples section.

Value

An object of class 'Recommender'.

See Also

Recommender, ratingMatrix.

Examples

data("MSWeb")
MSWeb10 <- sample(MSWeb[rowCounts(MSWeb) >10,], 100)

rec <- Recommender(MSWeb10, method = "POPULAR")
rec

getModel(rec)

## look at registry and a few methods
recommenderRegistry$get_entry_names()

recommenderRegistry$get_entry("POPULAR", dataType = "binaryRatingMatrix")

recommenderRegistry$get_entry("SVD", dataType = "realRatingMatrix")

audachang/recommenderlab.test documentation built on May 20, 2019, 1:27 p.m.