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recommenderlabBX (version 0.2-0)

BX: Book-Crossing Dataset (BX)

Description

The data set contains a 4-week crawl (August / September 2004) from the Book-Crossing community. Contains 278,858 users (anonymized) providing 1,149,780 ratings (explicit / implicit) about 271,379 books.

Usage

data(BX)
data(BXBooks)

Arguments

Format

The format is:

BX: Formal class 'realRatingMatrix' [package "recommenderlab"] BXBooks: data.frame with book meta information (title, author, year, publisher)

Details

44778 x 204680 rating matrix of class 'realRatingMatrix' with 493813 ratings between 0 and 10.

References

Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan, Georg Lausen, "Improving Recommendation Lists Through Topic Diversification," Proceedings of the 14th International World Wide Web Conference (WWW '05), May 10-14, 2005, Chiba, Japan.

Examples

Run this code
# NOT RUN {
data(BX)
BX

hist(getRatings(BX), main = "Distribution of ratings", breaks = 10)
# }

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