Username   Password       Forgot your password?  Forgot your username? 

 

Learning to Predict Price based on E-commerce Online Auction Machine

Volume 14, Number 8, August 2018, pp. 1906-1912
DOI: 10.23940/ijpe.18.08.p29.19061912

Xiaohui Lia,b, Hongbin Donga, Xiaowei Wanga, and Shuang Hana

aComputer Science and Technology College, Harbin Engineering University, Harbin, 150000, China
bHarbin Vocational and Technical College, Harbin, 150000, China

(Submitted on May 12, 2018; Revised on June 19, 2018; Accepted on July 22, 2018)

Abstract:

In this paper, we put forward a novel optimization framework entitled the E-commerce Online Auction Machine. Considering all the characteristics that affect online auction prices, the algorithms are applied to calculate the best fitting line to predict online auction prices by ordinary least squares. After that, regression weights are optimized using the local weighted method. Finally, using the shrinkage method, each characteristic optimal weight is obtained through the EOAM-RR algorithm. We have identified the key characteristics that affect auction prices as well as those that are not important.

 

References: 15

              1. H. Wang, “Analysis and Design for Multi-unit Online Auctions,” European Journal of Operational Research, Vol. 258, No. 3, pp. 1191-1203, November 2016
              2. G. Acampora, D. Alghazzawi, H. Hagras, and A. Vitiello, “An Interval Type-2 Fuzzy Logic based Framework for Reputation Management in Peer-to-Peer E-commerce,” Information Sciences, Vol. 333, pp. 88-107, March 2016
              3. R. Vragov, “Operational Efficiency of Decentralized Internet Auction Mechanisms,” Electronic Commerce Research and Applications, Vol. 9, No. 2, pp. 111-125, March-April 2010
              4. C. Selcuk, “Auctions vs. Fixed Pricing: Competing for Budget Constrained Buyers,” Games and Economic Behavior, Vol. 103, pp. 262-285, May 2017
              5. A. Greenstein-Messica and L. Rokach, “Personal Price Aware Multi-seller Recommender System: Evidence from eBay,” Knowledge-Based Systems, Vol. 150, pp. 14-26, February 2018
              6. R. Zeithammer and P. Liu, “When is Auctioning Preferred to Posting A Fixed Selling Price?” University of Chicago, November 2006
              7. S. T. Anderson, D. Friedman, G. H. Milam, and N. Singh, “Buy it Now: A Hybrid Internet Market Institution,” Journal of Electronic Commerce Research, Vol. 9, pp. 137-153, 2008
              8. H. Etzion, E. Pinker, and A. Seidmann, “Analyzing the Simultaneous Use of Auctions and Posted Prices for Online Selling,” Manufacturing & Service Operations Management, Vol. 8, No. 1, pp. 68-91, 2006
              9. R. P. Mcafee, “Mechanism Design by Competing Sellers,” Econometrica, Vol. 61, No. 6, pp. 1281-1312, 1993
              10. M. Peters and S. Severinov, “Internet Auctions with Many Traders,” University of Toronto Working Paper, 2002
              11. M. Peters and S. Severinov, “Competition among Sellers who Offer Auctions instead of Prices,” Journal of Economic Theory, Vol. 75, pp. 141-197, 1997
              12. A. R. Sinha and E. A. Greenleaf, “The Impact of Discrete Bidding and Bidder Aggressiveness on Sellers Strategies in Open English Auctions: Reserves and Covert Shilling,” Marketing Science, Vol. 19, No. 3, pp. 244-265, 2000
              13. B. J. Jansen, A. Spink, and T. Saracevic, “Real Life, Real Users, and Real Needs: A Study and Analysis of User Queries on the Web,” Information Processing & Management, Vol. 36, No. 2, pp. 207-227, 2000
              14. Y. Jiang, A. Cho, and R. Adaval, “The Unique Consequences of Feeling Lucky: Implications for Consumer Behavior,” Journal of Consumer Psychology, Vol. 19, No. 2, pp. 171-184, 2009
              15. B. J. Jansen and S. Schuster, “Bidding on the Buying Funnel for Sponsored Search and Keyword Advertising,” Journal of Electronic Commerce Research, Vol. 12, No. 1, pp. 1-18, 2011

                           

                          Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                          Attachments:
                          Download this file (29-IJPE-08-29.pdf)29-IJPE-08-29.pdf[Learning to Predict Price based on E-commerce Online Auction Machine]724 Kb
                           
                          This site uses encryption for transmitting your passwords. ratmilwebsolutions.com