Adaptive Sites : Automatically Learning from User Access Patterns

  title={Adaptive Sites : Automatically Learning from User Access Patterns},
  author={Mike Perkowitz and Oren Etzioni},
Designing a web site is a complex problem. Logs of user accesses to a site provide an opportunity to observe users interacting with that site and make improvements to the site’s structure and presentation. We propose adaptive sites: web sites that improve themselves by learning from user access patterns. Adaptive webs can make popular pages more accessible, highlight interesting links, connect related pages, and cluster similar documents together. An adaptive web can perform these self… CONTINUE READING

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