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recommenderlab (version 0.1-4)

Jester5k: Jester dataset (5k sample)

Description

The data set contains a sample of 5000 users from the anonymous ratings data from the Jester Online Joke Recommender System collected between April 1999 and May 2003.

Usage

data(Jester5k)

Arguments

format

The format is: Formal class 'realRatingMatrix' [package "recommenderlab"]

Details

5000 x 100 rating matrix (5000 users and 100 jokes) with ratings between -10.00 and +10.00. All selected users have rated 36 or more jokes.

References

Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. "Eigentaste: A Constant Time Collaborative Filtering Algorithm." Information Retrieval, 4(2), 133-151. July 2001.

Examples

Run this code
data(Jester5k)
Jester5k

nratings(Jester5k)
hist(getRatings(Jester5k), main="Distribution of ratings")

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