A preference scoring technique for personalized advertisements on Internet storefronts

Mathematical and Computer Modelling

Volumn 44, Issue 1-2, 2006, Pages 3-15

  Kim, Jong Woo ^a   Lee, Kyung Mi ^b   Shaw, Michael J ^c   Chang, Hsin Lu ^d   Nelson, Matthew ^e   Easley, Robert F ^f  

^a Hanyang University   (South Korea)

^b Chungnam National University   (South Korea)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

^e ILLINOIS STATE UNIVERSITY   (United States)

^f UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

Customization; Electronic commerce; Internet storefront; Personalization; Recommendation techniques

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; CUSTOMER SATISFACTION; DATA REDUCTION; DATA STORAGE EQUIPMENT; ELECTRONIC COMMERCE; INTERNET; LEARNING SYSTEMS; MARKETING; SET THEORY; WORLD WIDE WEB;

CUSTOMIZATION; INTERNET STOREFRONT; PERSONALIZATION; RECOMMENDATION TECHNIQUES;

PROFESSIONAL ASPECTS;

EID: 33646197542     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2004.12.011     Document Type: Article

References (24)

1. Ben Schafer J., Konstan J.A., and Riedl J. E-commerce recommendation applications. Journal of Data Mining and Knowledge Discovery 5 1-2 (2001) 115-153
2. Ansari A., Essegaier S., and Kohli R. Internet recommendation systems. Journal of Marketing Research 37 August (2000) 363-375
3. Riecken R.C. Growth in personalization and business. Communication of the ACM 43 8 (2000) 32
4. Wells N., and Wolfers J. Finace with a personalized touch. Communication of the ACM 43 8 (2000) 31-34
5. LikeMinds, LikeMinds™ personalization server 3.0 technology backgrounder, White Paper, Andromedia, Inc., 1999
6. Peppers D., and Rogers M. The One to One Future: Building Relationships One Customer at a Time (1993), Currency and Doubleday, New York
7. Peppers D., Rogers M., and Dorf B. The One to One Fieldbook: The Complete Toolkit for Implementing a 1to1 Marketing Program (1998), Currency and Doubleday, New York
8. Allen C., Kania D., and Beth Y. Internet World Guide to One-To-One Web Marketing (1998), John Wiley & Sons, Inc., New York
9. Pickering C. They are watching you. Business 2.0 February (2000) 135-136
10. Sweat J., and Whiting R. Instant marketing. Informationweek August 2 (1999) 18-20
11. Woolley S. I got it cheaper than you. Forbes November 2 (1998) 82-84
12. Maner U., Patel A., and Robison J. Experience with personalization on Yahoo!. Communication of the ACM 34 8 (2000) 35-39
13. BroadVision, http://www.broadvision.com, 2000
14. Net Perceptions, http://www.netperceptions.com, 2000
15. Kim J.W., Lee B.H., Shaw M.J., Change H.-L., and Nelson M. Application of decision-tree induction techniques to personalized advertisements on internet storefront. International Journal of Electronic Commerce 5 3 (2001) spring 45-62
16. Robert F. Easley, Jong Woo Kim, Michael J. Shaw, Recommendation Systems Model Selection for Electronic-Commerce Personalization, Working Paper
17. Resnick P., Iacovou N., Suchak M., Bergstrom P., and Riedl J. Grouplens: An open architecture for collaborative filtering of netnews. Proceedings of the ACM 1994 Conference on Computer Supported Cooperative Work (1994), ACM, New York 175-186
18. John S. Breese, David Heckerman, Carl Kadie, Empirical analysis of predictive algorithms for collaborative filtering, Technical Report, MSR-TR-98-12, Microsoft Research, October 1998
19. BroadVision, A BroadVision one-to-one White Paper, White Paper, BroadVision, 1996
20. Adomavicius G., and Tuzhilin A. Using data mining methods to build customer profiles. IEEE Computer February (2001) 74-82
21. Daniel Billsus, Michael J. Pazzani, A hybrid user model for news story classification, in: Proceedings of the Seventh International Conference on User Modeling, June 1999
22. Ansari A., Essegaier S., and Kohli R. Internet recommendation systems. Journal of Marketing Research 37 August (2000) 363-375
23. Dhruv Gupta, Mark Digiovanni, Hiro Norita, Ken Goldberg, Jester 2.0: evaluation of a new linear time collaborative filtering algorithm, in: 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval, August 1999
24. Chandrasekar Subramanian, Michael J. Shaw, David M. Gardner, Product marketing on the Internet, Working Paper, University of Illinois at Urbana-Champaign, 1998