Description

Container for the model learned using any Bayesian Personalized Ranking based model.

Slots

alg:

The algorithm denominator, of class "character".

data:

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

factors:

user(U) and items(V) factors, class "list".

parameters:

the parameters(such as number of factors k, learning rate lambda, user regularization term regU, positive rated item regularization term regI, negative rated item regularization term regJ and the Boolean updateJ to decide whatever negative updates are required) used in the model, class "list".

Methods

show

signature(object = "BPRclass")

See Also

rrecsys.