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Example code and data for "Practical Data Science with R" by Nina Zumel and John Mount, Manning 2014.

The code and data in this directory supports examples from:

  • Chapter 8: Using Unsupervised Methods

Original data:

Book-Crossing dataset mined by Cai-Nicolas Ziegler, DBIS Freiburg original link http://www.informatik.uni-freiburg.de/~cziegler/BX/

Collected by Cai-Nicolas Ziegler in a 4-week crawl (August / September 2004) from the Book-Crossing community with kind permission from Ron Hornbaker, CTO of Humankind Systems. Contains 278,858 users (anonymized but with demographic information) providing 1,149,780 ratings (explicit / implicit) about 271,379 books.

Freely available for research use when acknowledged with the following reference (further details on the dataset are given in this publication):

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

http://www.informatik.uni-freiburg.de/~cziegler/BX/WWW-2005-Preprint.pdf

Derived works (no claim of license on these):

  • bxBooks.RData : R-binary version of Book-Crossing dataset.
  • bookdata.tsv.gz : gzipped tab-separated file containing customer book ratings by title and numerical rating

Our additional documentation, notes, code, and example data:

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

  • read_bookcrossing.R : script to read in original data files and create bxBooks.RData
  • create_bookdata.R : script to create the data file bookdata.tsv