Daily Deals Dataset

The dataset we used in our paper:

Daily Deals: Prediction, Social Diffusion, and Reputational Ramifications [arXiv]
John Byers, Michael Mitzenmacher, Georgios Zervas
In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM) 2012

is publicly available from this page for non-commercial use.

Download

daily-deals-data.tar.gz (548503 bytes)

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If you use our dataset we'd love to know about it. Please drop us a line and let us know if you found it useful and ended up using it in one of your projects.

README

Daily Deals Dataset (http://www.cs.yale.edu/homes/zg/daily-deals-dataset.html)

These datasets were collected and used for the paper:

John Byers, Michael Mitzenmacher & Georgios Zervas:
"Daily Deals: Prediction, Social Diffusion, and Reputational Ramifications"

A detailed description of their contents is available in Section 2 of the
paper, available at http://arxiv.org/abs/1109.1530. The two files contained in
the dataset are in CSV format (comma-separated values) and the first row of
each file is a self-explanatory header.

We make these datasets to the academic communinity for non-commercial use. If 
you use them please cite our paper using the following BibTeX entry:

@inproceedings{BMZ12,
 author = {Byers, John W. and Mitzenmacher, Michael and Zervas, Georgios},
 title = {Daily deals: prediction, social diffusion, and reputational ramifications},
 booktitle = {Proceedings of the fifth ACM international conference on Web search and data mining},
 series = {WSDM '12},
 year = {2012},
 isbn = {978-1-4503-0747-5},
 location = {Seattle, Washington, USA},
 pages = {543--552},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2124295.2124361},
 doi = {10.1145/2124295.2124361},
 acmid = {2124361},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {daily deals, reputation, social diffusion},
} 

For questions regarding this dataset please contact Georgios Zervas.

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