Description Usage Arguments Value See Also Examples
Creates recommendations using a recommender model and data about new users.
1 2 3 |
object |
a recommender model (class |
newdata |
data for active users (class |
n |
number of recommendations in the top-N list. |
data |
training data needed by some recommender algorithms if
|
type |
type of recommendation. The default type is
|
... |
further arguments. |
Returns an object of class "topNList"
or of other appropriate
classes.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | data("MovieLense")
MovieLense100 <- MovieLense[rowCounts(MovieLense) >100,]
train <- MovieLense100[1:50]
rec <- Recommender(train, method = "POPULAR")
rec
## create top-N recommendations for new users
pre <- predict(rec, MovieLense100[101:102], n = 10)
pre
as(pre, "list")
## predict ratings for new users
pre <- predict(rec, MovieLense100[101:102], type="ratings")
pre
as(pre, "matrix")[,1:10]
## create recommendations using user ids with ids 1..10 in the
## training data
pre <- predict(rec, 1:10 , data = train, n = 10)
pre
as(pre, "list")
|
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