參考文獻 |
[1] http://investor.ebay.com/annuals.cfm
[2] Sinclair, J.T., eBay, The Smart Way: Selling, Buying, and Profiting on the Web’s #1 Auction Site, 2005, four edition, published book.
[3] Anderson, Steven T., Friedman, Daniel, Milam, Garrett H. and Singh, Nirvikar , "Seller Strategies on eBay”, UC Santa Cruz Economics Working Paper, No. 564, 2004.
[4] http://www.terapeak.com/
[5] http://www.hammertap.com/
[6] Resnick, P., Zeckhauser, R., Swanson, J. and Lockwood, K., “The Value of Reputation on eBay: A Controlled Experiment”. Experimental Economics, 2006, pp. 79-101.
[7] Ghani, R. and Simmons, H. “Predicting the end-price of online auctions”. In the Proceedings of the International Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management, Pisa, Italy, 2004.
[8] Heijst, D. van, Potharst, R., Wezel, M. van. “A Support System for Predicting eBay End Prices”, Decision Support System, Vol. 44, Issue 4, March 2008, pp. 970-982.
[9] Wang, S., Jank, W., and Shmueli, G. “Forecasting eBay’s online auction price using functional data analysis”, Journal of Business and Economic Statistics, 2006.
[10] Van Bruggen, G.H., Smidts, A. and Wierenga, B., “Improving decision making by means of a marketing decision support system”, Management Science, 44, 1998, pp.645–658.
[11] D.G. Gregg and S. Walczak, “Auction advisor: an agent-based online auction decision Support System”, Decision Support Systems, Vol. 41, Issue 2, 2006, pp. 449–471.
[12] Gregg, D.G. and S. Walczak, “E-commerce Auction Agents and Online-Auction Dynamics,” Electronic Markets, Vol. 13, No. 3, 2003, pp. 242-250.
[13] Wood, C.A. “Current and future insights from online auctions: A research framework 46 of selected articles in online auctions”, Handbook on Electronic Commerce, M. Shaw, R. Blanning, T. Strader and A.B. Whinston (eds.), Springer-Verlag, 2004, pp. 130-141.
[14] Brint, A. “Investigating buyer and seller strategies in online auctions”. Journal of the Operational Research Society, 2003, pp. 1177-1188.
[15] Jaeki Song and Jeff Baker, “An integrated model exploring seller's strategies in eBay auctions”, Electronic Commerce Research, Vol. 17, No. 2, 2007, pp. 165-187.
[16] Durham, Y., Roelofs, M., Standifird, S. “eBay’s buy-it-now function: who, when, and how”. Topics in Economic Analysis & Policy, Vol 4, Issue 1, 2004, pp. 1316–1340.
[17] Gilkeson, J. H., & Reynolds, K. “Determinants of Internet auction success and closing price: An exploratory study”. Psychology & Marketing, 20(6), 2003, pp. 537-566.
[18] Lucking-Reily, D., Bryan, D., Prasad, N., Reeves, D. “Pennies from eBay: the
Determinants of Price in Online Auctions”, May 2006
[19] Bajari, P. and A. Hortacsu, “Winner’s Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions”, The Rand of Economics, 34(2), 2003, pp.329-355.
[20] Wang, Xin and Alan L. Montgomery, “The Effects of Advertising on Customer Retention and the Profitability of Auctions," Working Paper, Graduate School of Industrial Administration, Carnegie Mellon University, 2003.
[21] Wang, X., A. L. Montgomery, and K. Srinivasan, “When Auction Meets Fixed Price: A Theoretical and Empirical Examination of Buy-it-Now Auctions, http://www.andrew.cmu.edu/user/alm3/papers/buyitnow.pdf, 2004.
[22] Domingos, P. “MetaCost: A general method for making classifiers cost sensitive”. In Proceedings of the Fifth International Conference on Knowledge Discovery and Data
Mining, 1999, pp. 155-164. 47
[23] Zadrozny, B and Elkan, C. “Learning and making decisions when costs and probabilities are both unknown”. In Proceedings of the Seventh ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2001, pp. 204-213.
[24] Zadrozny, B. and Elkan, C. “Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers”. In Proceedings of the Eighteenth International Conference on Machine Learning, pages 609-616. Morgan Kaufmann Publishers, Inc., 2001.
[25] Domingos, P. and Pazzani, M. “Beyond independence: Conditions for the optimality of the simple Bayesian classifier”. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 105-112. Morgan Kaufmann Publishers, Inc., 1996.
[26] Platt, J. “Probabilistic outputs for support vector machines and comparison to regularized likelihood methods”. Advances in Large Margin Classifiers, 1999, pp.
61–74.
[27] Zadrozny, B. and Elkan, C. “Transforming classifier scores into accurate multiclass probability estimates”. SIGKDD, 2002, pp. 204-213.
[28] Ayer, M., Brunk, H., Ewing, G., Reid, W., & Silverman, E. “An empirical distribution function for sampling with incomplete information”. Annals of Mathematical Statistics, 1955, pp. 641–647.
[29] Hastie and R. Tibshirani. “Classification by pairwise coupling”. The Annals of Statistics, Vol. 26, No. 2, 1998, pp. 451-471.
[30] Feelders, A. J. “An overview of model based reject inference for credit scoring”. Technical report, Utrecht University, Institute for Information and Computing Sciences, (unpublished).
[31] Little, R. J. A. and Rubin, D. B. Statistical analysis with missing data. John Wiley & Sons, Inc., New York, NY, USA, second edition, 1986. 48
[32] Heckman, J. “Sample selection bias as a specification error. Econometrica”, 47, 1979, pp. 153–161
[33] Smith, A. and Elkan, C. “A bayesian network framework for reject inference. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining”, 2004, pp. 286–295.
[34] Zadrozny, B. “Learning and evaluating classifiers under sample selection bias”. In Proceedings of the 21th International Conference on Machine Learning, Vol. 69, 2004, pp.144-151.
[35] W. Fan, and I. Davidson, “On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples”. In Proceedings of the SIAM International Conference on Data Mining, 2007, pp. 320-331.
[36] Zadrozny, B., Langford, J. and Abe, N. “Cost-Sensitive learning by cost-proportionate example weighting”. Proceedings of the Third IEEE International Conference on Data Mining. 2003, pp.435-442. |