recommenderlab (version 0.1-9)

predict: Predict Recommendations

Description

Creates recommendations using a recommender model and data about new users.

Usage

## S3 method for class 'Recommender':
predict(object, newdata, n = 10, data=NULL, 
    type="topNList", ...)

Arguments

object

a recommender model (class "Recommender").

newdata

data for active users (class "ratingMatrix") or the index of users in the training data to create recommendations for. If an index is used then some recommender algorithms need to be passed the training data as argument data

n

number of recommendations in the top-N list.

data

training data needed by some recommender algorithms if newdata is a user index and not user data.

type

type of recommendation. The default type is "topNList" which creates a top-N recommendation list with recommendations. Some recommenders can also create other results (e.g., type "ratings" returns only predicted rating

...

further arguments.

Value

• Returns an object of class "topNList" or of other appropriate classes.

See Also

Recommender, ratingMatrix.

Examples

Run this code

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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