Resources

Learn

• Find Bucklin and Sismeiro's Web site user modeling research in this article from the Journal of Marketing Research, "A Model of Web Site Browsing Behavior Estimated on Clickstream Data".
  
  
• Read J. Laurie Snell's Introduction to Probability (1988), still an excellent textbook for learning about probability theory and Markov process theory in particular.
  
  
• In my explorations of probability theory I continually refer to James Higgins's and Sallie Keller-McNulty's Concepts in Probability and Stochastic Modeling (Duxbury, 1995).
  
  
• Explore John Lenker's Train of Thoughts (http://www.trainofthoughts.com). This provocative book, especially "Chapter 4: Patterns of Anticipation -- The art of Flowstream Development," postulates replacing the relatively static concept of Information Architecture with the more dynamic concept of Flowstream Development. (You need a Flash player version 6 for this resource.)
  
  
• Visit the IBM Research, Math Sciences division for information on applied mathematics, algorithms, data mining, and statistics.
  
  
• In "The Economics of Surfing" by Eytan Adar and Bernardo A. Huberman, read a discussion of "mechanisms for implementing temporal discrimination in surfing by dynamically configuring sites and versioning information services".
  
  
• Read the author's more detailed discussion of the Fire Damage Model in the developerWorks article, "Simple linear regression with PHP: Part 2" (April 2003).
  
  
• Find a clear and detailed account of Predictive and Partial Match (PPM) algorithms in Khalid Sayood's book Introduction to Data Compression .
  
  
• At the Aries Lab at the University of Saskatchewan, discover a plethora of cutting-edge research on intelligent tutoring systems and adaptive learning environments.
  
  
• In developing this tutorial, the author ran into the issue of preparing mathematical equations and matrices for presentation on the Web and in PDF documents. Read the IBM developerWorks article "Building dynamic Web sites with mathematical content" for useful advice to developers about the tools to use and how to use them (February 2002).
  
  
• Find updates to this code at www.phpmath.com.
  
  

Get products and technologies

• Download the sample code in this compressed file, usermodel.tar.gz.
  
  

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Table of contents

• Introduction
• What is a Web site user model?
• Fast and lean transition matrices
• Encoding visitor clickstreams
• Modeling users as Markov processes
• Wrap up
• Resources
• About the author

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