Article

Measuring and managing the effectiveness of personalization

Author:

Liam PeytonAuthors Info & Claims

ICEC '03: Proceedings of the 5th international conference on Electronic commerce

September 2003

Pages 220 - 224

https://doi.org/10.1145/948005.948034

Published: 30 September 2003 Publication History

Get Access

Abstract

Specifying an adaptive web site so that visitor experience is personalized based on context is a complex task. In this paper, we focus on the business manager responsible for an adaptive web site who wishes to measure and manage the effectiveness of personalization. We show how the essential information critical to these tasks can be captured and linked by mapping business domain facts to discrete integer values. The advantage of such an approach is twofold. First, it creates a simple, but generic foundation for specifying personalization in terms familiar and usable by a businessperson. Second, it establishes a statistical framework in which personalization can be measured and trials performed.

References

[1]

M. Arlitt, D. Krishnamurthy, J. Rolia, Characterizing the Scalability of a Large Web Based Shopping System, ACM Transactions on Internet Technology, Vol. 1, No. 1, August 2001, Pages 44--69.

Digital Library

Google Scholar

[2]

C. Avery and R. Zeckhauser. Recommender Systems for Evaluating Computer Messages. Communications of the ACM, 40:88--89, Mar. 1997.

Digital Library

Google Scholar

[3]

M. Fernandez, D. Florescu, A. Levy, and D. Suciu, Declarative Specification of Web Sites with Strudel, VLDB Journal 9(1) 38--55, 2000.

Digital Library

Google Scholar

[4]

C. L. Forgy, Benchmarking CLIPS/R2, June, 1996. http://www.pst.com/bencr2.htm

Google Scholar

[5]

T. Mitchell, Machine Learning, McGraw Hill, 1997.

Digital Library

Google Scholar

[6]

B. Mobasher, R. Cooley, and J. Srivastava, Automatic Personalization Based on Web Usage Mining. Communications of the ACM, vol. 43 num. 8, 2000.

Digital Library

Google Scholar

[7]

L. Paganelli & F. Paternòò Intelligent Analysis of User Interactions with web applications. In Proceedings of the ACM Intelligent User Interfaces Conference, 2002.

Digital Library

Google Scholar

[8]

L. Peyton, Understanding Software Automation, Thesis, Technical Report R-96-2015, Aalborg Universitet, Denmark. 1996.

Google Scholar

[9]

R. Quinlan, "Improved Use of Continuous Attributes in C4.5", Journal of Artificial Intelligence Research vol 4, 77--90, March 1996.

Digital Library

Google Scholar

[10]

J. Scholtz, S. Laskowski, L. Downey. Developing usability tools and techniques for designing and testing web sites. Proceedings HFWeb'98, Basking Ridge, NJ, June 1998

Google Scholar

[11]

S. Shearin, H. Lieberman. Intelligent Profiling by Example, In Proceedings of the ACM Intelligent User Interfaces Conference (IUI), Jan. 2001

Digital Library

Google Scholar

[12]

C. Waltner, CRM Makes Online Shopping Personal, http://www.site.uottawa.ca/~lpeyton/adapte_informationweek.htm, InformationWeek.com, January 29, 2001.

Google Scholar

[13]

Digital Connexxions, U.S. Patent & Trademark Office Patent Number 6,466,975, February 18, 2003. http://www.dconx.com/11.htm

Google Scholar

Cited By

View all

Peyton LRajwani A(2004)A Generative Framework for Managed ServicesGenerative Programming and Component Engineering10.1007/978-3-540-30175-2_24(456-468)Online publication date: 2004
https://doi.org/10.1007/978-3-540-30175-2_24
Anand SMulvenna MChevalier K(2004)On the Deployment of Web Usage MiningWeb Mining: From Web to Semantic Web10.1007/978-3-540-30123-3_2(23-42)Online publication date: 2004
https://doi.org/10.1007/978-3-540-30123-3_2

Recommendations

Measuring personalization of web search
WWW '13: Proceedings of the 22nd international conference on World Wide Web

Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where different users receive different results for the same search query. The increasing personalization is leading to concerns about ...
Read More
An efficient context-aware personalization technique in ubiquitous environments
ICUIMC '10: Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

It is not easy to provide a personalized service by using an existing recommendation system in ubiquitous computing environments providing the personalized service according to the situation. Because majority of existing recommendation systems focus on ...
Read More
Generating semantically enriched user profiles for Web personalization

Traditional collaborative filtering generates recommendations for the active user based solely on ratings of items by other users. However, most businesses today have item ontologies that provide a useful source of content descriptors that can be used ...
Read More

Comments

Information & Contributors

Information

Published In

ICEC '03: Proceedings of the 5th international conference on Electronic commerce

September 2003

528 pages

ISBN:1581137885

DOI:10.1145/948005

General Chair:
Norman Sadeh
Carnegie Mellon University
,
Program Chairs:
Mary Jo Dively
Esq. Carnegie Mellon University
,
Robert Kauffman
University of Minnesota
,
Yannis Labrou
Fujitsu Laboratories
,
Onn Shehory
IBM Research Labs, Israel
,
Rahul Telang
Carnegie Mellon University
,
Lorrie Cranor
AT&T

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 September 2003

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 150 of 244 submissions, 61%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
1,015
Total Downloads

Downloads (Last 12 months)20
Downloads (Last 6 weeks)4

Other Metrics

View Author Metrics

Citations

Cited By

View all

Peyton LRajwani A(2004)A Generative Framework for Managed ServicesGenerative Programming and Component Engineering10.1007/978-3-540-30175-2_24(456-468)Online publication date: 2004
https://doi.org/10.1007/978-3-540-30175-2_24
Anand SMulvenna MChevalier K(2004)On the Deployment of Web Usage MiningWeb Mining: From Web to Semantic Web10.1007/978-3-540-30123-3_2(23-42)Online publication date: 2004
https://doi.org/10.1007/978-3-540-30123-3_2

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

Measuring personalization of web search

An efficient context-aware personalization technique in ubiquitous environments

Generating semantically enriched user profiles for Web personalization