recommenderlab (version 0.2-2)

HybridRecommender: Create a Hybrid Recommender

Description

Combines several trained recommender algorithms into a hybrid recommender.

Usage

HybridRecommender(..., weights = NULL)

Arguments

…

objects of class 'Recommender'.

weights

weights for the recommenders. The recommenders are equally weighted by default.

Value

An object of class 'Recommender'.

See Also

'>Recommender

Examples

# NOT RUN {
data("MovieLense")
MovieLense100 <- MovieLense[rowCounts(MovieLense) >100,]
train <- MovieLense100[1:100]
test <- MovieLense100[101:103]

## mix popular movies with a random recommendations for diversity and
## rerecommend some movies the user liked.
recom <- HybridRecommender(
  Recommender(train, method = "POPULAR"),
  Recommender(train, method = "RANDOM"),
  Recommender(train, method = "RERECOMMEND"),
  weights = c(.6, .1, .3)
  )

recom

getModel(recom)

as(predict(recom, test), "list")
# }