Description

Container for the model learned using any k-nearest neighbor item-based collaborative filtering algorithm.

Slots

alg:

The algorithm denominator, of class "character".

data:

the dataset used for training the model, class "matrix".

sim:

The item - item similarity matrix, class "matrix".

sim_index_kNN:

The index of the k nearest neighbors for each item, class "matrix".

parameters:

the parameters used in the model, class "list".

Methods

show

signature(object = "IBclass")

See Also

rrecsys.