Create readme for reduce datasets with important information

[arthurfortes]

Example:

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Book-Crossing 2016

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Version and Author

Version 1.0 (Set 2016)
Arthur Fortes da Costa
University of São Paulo

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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. 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.

If you have any further questions or comments, please contact Cai-Nicolas Ziegler
cziegler@informatik.uni-freiburg.de.

The data set may be used for any research purposes under the following conditions:

* The user must acknowledge the use of the data set in publications resulting from the use of the data set, and must
send us an electronic or paper copy of those publications.

* The user may not redistribute the data without separate permission.

Changes

- We removed all interactions without context information about the book

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ACKNOWLEDGEMENTS

Thanks to Cai-Nicolas Ziegler by providing the database.

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PUBLISHED WORK THAT HAS USED THIS DATASET

Please cite the following if you use the data in any way:

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.

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Data statistics

92.107 users
270.170 books

Feedbacks

  - 383.852 ratings
  - 1.031.175 history

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Files

* user_history_book.dat
  These file contain the users' history based on their navigation on the system.

* user_rated_books.dat
  These file contain the ratings of the books provided by each particular user.

* books.dat
  This file contains information about the books of the database.

  The original book information avalible is:
     - ISBN
     - Title
     - Author
     - Year
     - Publisher
     - Image Url

* movie_locations.dat

  This file contains locations and age of the users.

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Data format

The data is formatted one entry per line as follows (tab separated, "\t"):

userID \t movieID \t rating

Example:
75 3 1

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Credits

This dataset was modified and reduced by Arthur Fortes da Costa Phd student at University of São Paulo

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Contact

Arthur Fortes da Costa, fortes [dot] arthur [at] gmail [dot] com