E-commerce technology: Back to a prominent future

IEEE Internet Computing

Volumn 12, Issue 1, 2008, Pages 60-65

  Lin, Kwei Jay ^a  

^a University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION TECHNOLOGY; MARKETING; ONLINE SYSTEMS; WORLD WIDE WEB;

E-COMMERCE TECHNOLOGY; ONLINE SHOPPING;

ELECTRONIC COMMERCE;

EID: 39549093168     PISSN: 10897801     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIC.2008.10     Document Type: Review

References (18)

1. The 2007 E-Commerce Market Research Handbook, R.K. Miller & Assoc., 2007.
2. "Asia-Pacific E-Commerce: Spotlight on China, Japan, and South Korea," eMarketer, 2005; www.emarketer.com/Report.aspx? code=ecom_asia_jul05.
3. "US Retail E-Commerce: Entering the Multi-Channel Era," eMarketer, 2007;www.emarketer.com/Report.aspx?code-emarketer_ 2000411&src-report4_head_info_newsltr.
4. P.R. Wurman, M.P. Wellman, and W.E. Walsh, "A Parametrization of the Auction Design Space," Games and Economic Behavior, vol. 35, nos. 1-2, 2001, pp. 304-338.
5. M.H. Rothkopf, A. Pekeč, and R.M. Harstad, "Computationally Manageable Combinatorial Auctions," Management Science, vol. 44, no. 8, 1995, pp. 1131-1147.
6. R.K. Gautam et al., "Optimal Auctions for Multi-Unit Procurement with Volume Discount Bids," Proc. IEEE Joint Conf. E-Commerce Technology and Enterprise Computing, IEEE CS Press, 2007, pp. 21-28.
7. M. He, N.R. Jennings, and H. Leung, "On Agent-Mediated Electronic Commerce," IEEE Trans. Knowledge and Data Eng., vol. 15, no. 4, 2003, pp. 985-1003.
8. A.R. Lomuscio, M. Wooldridge, and N.R. Jennings, "A Classification Scheme for Negotiation in Electronic Commerce," Int. J. Group Decision Negotiation, Springer, vol. 12, no. 1, 2003, pp. 31-56.
9. S.K. Lam and J. Riedl, "Shilling Recommender Systems for Fun and Profit," Proc. 13th Int'l Conf. World Wide Web (WWW 04), ACM Press, 2004, pp. 393-402.
10. D. Goldberg et al., "Using Collaborative Filtering to Weave an Information Tapestry," Comm. ACM, vol. 35, no. 12, 1992, pp. 61-70.
11. P. Resnick et al., "GroupLens: An Open Architecture for Collaborative Filtering of Netnews," Proc. ACM Conf. Computer Supported Cooperative Work, ACM Press, 1994, pp. 175-186.
12. B.M. Sarwar et al., "Application of Dimensionality Reduction in Recommender Systems: A Case Study," Proc. ACM Web Mining for E-Commerce Workshop (WebKDD 2000), 2000; http://robotics.stanford. edu/people/ronnyk/WEBKDD2000/papers/.
13. J.S. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," Proc. 14th Conf. Uncertainty in Artificial Intelligence (UAI 98), Morgan Kaufmann, 1998, pp. 43-52.
14. J. Canny, "Collaborative Filtering with Privacy via Factor Analysis," Proc. IEEE Conf. Security and Privacy, IEEE CS Press, 2002, pp. 45-57.
15. J. Schafer, J. Konstan, and J. Riedl, "Electronic Commerce Recommender Applications," Data Mining and Knowledge Discovery, vol. 5, nos. 1-2, 2001, pp. 115-153.
16. P. Maes, R. Guttman, and A. Moukas, "Agents that Buy and Sell, Comm. ACM, vol. 42, no. 3, 1999, pp. 81-91.
17. J.-Y. Chung, K.-J. Lin, and S.S.Y. Shim, "Beyond Electronic Commerce," Computer, vol. 38, no. 8, 2005, pp. 92-93.
18. S. Arrison, "'Second Life' Lessons from a Virtual World," TechNewsWorld; www.technewsworld.com/story/ Second-Life-Lessons-from-a-Virtual-World-38074.html.