Daily deals: Prediction, social diffusion, and reputational ramifications

WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2012, Pages 543-552

  Byers, John W ^a   Mitzenmacher, Michael ^b   Zervas, Georgios ^a  

^a BOSTON UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Economics; Measurement

Indexed keywords

CASCADE MODEL; DATA SETS; FACEBOOK; LARGE CITIES; OPERATIONAL STRATEGIES; SOCIAL NETWORKS; USER ACTIVITY; WORD-OF-MOUTH EFFECTS;

DATA MINING; ECONOMICS; INFORMATION RETRIEVAL; MEASUREMENTS; SALES; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

DATA PROCESSING;

EID: 84858054026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2124295.2124361     Document Type: Conference Paper

References (21)

1. K. S. Anand and R. Aron. Group buying on the web: A comparison of price-discovery mechanisms. Manage. Sci., 49(11):1546-1562, November 2003.
2. A. Arabshahi. Undressing Groupon: An Analysis of the Groupon Business Model. Available at http://www.ahmadalia.com, Dec. 2010.
3. J. W. Byers, M. Mitzenmacher, M. Potamias, and G. Zervas. A Month in the Life of Groupon. Technical report arXiv:1105.0903, arXiv.org, May 4, 2011.
4. J. W. Byers, M. Mitzenmacher, and G. Zervas. Daily Deals Dataset. http://www.cs.yale.edu/homes/zg/daily-deals-dataset.html.
5. J. W. Byers, M. Mitzenmacher, and G. Zervas. Daily Deals: Prediction, Social Diffusion, and Reputational Ramifications. Technical report arXiv.org:1109.1530, arXiv.org, September 7, 2011.
6. B. J. Calder and B. Sternthal. Television commercial wearout: An information processing view. Journal of Marketing Research, 17(2):pp. 173-186, 1980.
7. H. Chun, H. Kwak, Y.-H. Eom, Y.-Y. Ahn, S. Moon, and H. Jeong. Comparison of online social relations in volume vs interaction: a case study of cyworld. In Proc. of the 8th ACM SIGCOMM Conference on Internet Measurement, pages 57-70, 2008.
8. C. S. Craig, B. Sternthal, and C. Leavitt. Advertising wearout: An experimental analysis. Journal of Marketing Research, 13(4):pp. 365-372, 1976.
9. U. M. Dholakia. How effective are groupon promotions for businesses? Available at http://www.ruf.rice.edu/~dholakia, Sept. 2010.
10. B. Edelman, S. Jaffe, and S. D. Kominers. To Groupon or Not to Groupon: The Profitability of Deep Discounts. HBS Working Paper 11-063: http://hbswk.hbs.edu/item/6597.html, Aug. 2010.
11. Groupon, Inc. S-1 Filing. Filed with the U.S. Securities and Exchange Commission, June 2, 2011.
12. R. J. Kauffman and B. Wang. New buyers' arrival under dynamic pricing market microstructure: The case of group-buying discounts on the internet. J. Manage. Inf. Syst., 18(2):157-188, October 2001.
13. D. Kempe, J. M. Kleinberg, and É. Tardos. Maximizing the spread of influence through a social network. In KDD, pages 137-146, 2003.
14. H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a social network or a news media? In Proceedings of the 19th International Conference on the World Wide Web, WWW '10, pages 591-600, New York, NY, USA, 2010. ACM.
15. J. Leskovec, J. Kleinberg, and C. Faloutsos. Graph evolution: Densification and shrinking diameters. ACM Trans. Knowl. Discov. Data, 1(1), March 2007.
16. J. Leskovec, A. Singh, and J. Kleinberg. Patterns of influence in a recommendation network. In Advances in Knowledge Discovery and Data Mining, volume 3918 of LNCS, pages 380-389. Springer-Verlag, 2006. (Pubitemid 44019437)
17. M. Luca. Reviews, Reputation, and Revenues: The Case of Yelp.com. HBS Working Paper 12-016: http://hbswk.hbs.edu/item/6833.html, Sept. 2011.
18. J. Stoppelman. Why Yelp has a Review Filter. http://officialblog.yelp. com/2009/10/why-yelp-has-a-review-filter.html.
19. B. Viswanath, A. Mislove, M. Cha, and K. P. Gummadi. On the evolution of user interaction in Facebook. In Proceedings of the 2nd ACM Workshop on Online Social Networks, pages 37-42, 2009.
20. C. Wilson, B. Boe, A. Sala, K. P. Puttaswamy, and B. Y. Zhao. User interactions in social networks and their implications. In Proceedings of the 4th ACM European Conference on Computer Systems, EuroSys '09, pages 205-218, New York, NY, USA, 2009. ACM.
21. M. Ye, C. Wang, C. Aperjis, B. A. Huberman, and T. Sandholm. Collective Attention and the Dynamics of Group Deals. Technical report available at http://papers.ssrn.com/sol3/papers.cfm?abstract-id=1949452, October 25, 2011.