View book-crossing-ratings-1.0 (public)























- Summary
Ratings of books by readers
- License
- ODbL
- Dependencies
- Tags
- collaborative-filtering recommendation
- Attribute Types
- Integer
- Download
-
# Instances: 1149780 / # Attributes: 3
HDF5 (13.2 MB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
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- Original Data Format
- arff
- Name
- book-crossing
- Version mldata
- 0
- Comment
This data was obtained from 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. (Note from the guy that converted it to arff format: I'm not sure where those values came from. The data does not seem to match them.)
[ ! ] 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. Download: [ PDF Pre-Print ]As a courtesy, if you use the data, I would appreciate knowing your name, what research group you are in, and the publications that may result.
- Names
- userid,bookid,rating,
- Types
- numeric
- numeric
- numeric
- Data (first 10 data points)
userid bookid rating 0 0 0 1 1 5 2 2 0 3 3 3 3 4 6 4 5 0 5 6 8 6 7 6 7 8 7 8 9 10 ... ... ...
- Description
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. (See http://www.informatik.uni-freiburg.de/~cziegler/BX/)
To give attribution, as required by the ODbL license, please cite the following reference: 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.
- URLs
- http://www.informatik.uni-freiburg.de/~cziegler/BX/
- Publications
- Data Source
- http://www.informatik.uni-freiburg.de/~cziegler/BX/
- Measurement Details
To simplify analysis, the original user IDs have been replaced with integer values from 0 to 105282 and the original book ISBN numbers have been replaced with integer values from 0 to 339865. In both cases, all integer values in those ranges occur at least once. The data in its original form is available at http://www.informatik.uni-freiburg.de/~cziegler/BX/, and additional meta-data is available with it.
- Usage Scenario
Evaluating the effectiveness of a collaborative-filtering recommendation system.
- revision 1
- by mgashler on 2011-09-14 15:17
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.
