A support vector machine based method for predicting final prices of online auctions

被引：0
|
作者：
Liu Y. [1 ]
Feng Y.-Q. [1 ]
Shao Z. [1 ]
机构：
[1] School of Management, Harbin Institute of Technology
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2010年 / 31卷 / 03期
关键词：
Final price prediction; Online auction; Support vector machine;
D O I：
10.3969/j.issn.1006-7043.2010.03.024
中图分类号：
学科分类号：
摘要：
A new method was proposed for predicting the final price in online auctions. By analysing bidders' behavior, the problem of long calculation time was solved. Instead of predicting the final price directly, the method used a support vector machine to analyse the time of each bid and then used that data to calculate an end price. The authors collected data on 3310 transactions and their corresponding 8275 bids from Taobao and used them as experimental data. The experiment proved that this model substantially outperforms the naive method of predicting by using the mean category price. The training time was only a few seconds, yet 22.1% of the predicted results were identical to the real ones. This research can provide a foundation for the development of real-time decision support systems.
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收藏
页码：400 / 404
页数：4
相关论文
共 10 条
  • [1] Wood C.A., What factors drive final rice in Internet auctions? An empirical assessment of coin transactions on eBay, Annual convention of the Institute for Operations Research and the Management Sciences, (2001)
  • [2] Bryan D., Lucking-Reiley D., Prasad D., Reeves D., Pennies from eBay: the determinants of price in online auctions, Journal of Industrial Economics, 55, 2, pp. 223-233, (2007)
  • [3] Kauffman J., Wood C.A., The effects of shilling on final bid prices in online auctions, Electronic Commerce Research and Applications, 4, pp. 21-34, (2005)
  • [4] Srinivas K.R., Mayukh C.A., Modeling online art auction dynamics usting functional data analysis, Statistical Science, 21, 2, pp. 179-193, (2006)
  • [5] Wang S., Jank W., Shmueli G., Explaining and forecasting online auction prices and their dynamics using functional data analysis, Journal of Business and Economic Statistics, 26, 2, pp. 144-160, (2008)
  • [6] Ghani R., Simmons H., Predicting the end-price of online auctions, Proceedings of International Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management Held in Conjunction with the 15th European Conference on Machine Learning, (2004)
  • [7] Li X., Liu L., Wu L., Prediction of the end-price of online auction item, Computer Engineering, 32, 18, pp. 189-191, (2006)
  • [8] Heijst D.Y., Potharst R., Wezel M.V., A support system for predicting eBay end prices, Decision Support Systems, 44, pp. 970-982, (2008)
  • [9] Kauffman R.J., March S.T., Wood C.A., Design principles for long-lived internet agents, International Journal of Intelligent Systems in Accounting, Finace & Management, 9, pp. 217-236, (2000)
  • [10] Li Z., Zhang J., Yang J., Research of incremental learning algorithm with support vector machine, Journal of Harbin Engineering University, 26, 5, pp. 643-646, (2005)
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