Daily Deals: Prediction, Social Diffusion, and Reputational Ramiļ¬cations [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.
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. File name: daily-deals-data.tar.gz File size: 548503 bytes MD5: daad4ba9b8fe9ba58b8c466c9e9ec5ed