Learning users' interests by unobtrusively observing their normal behavior

  title={Learning users' interests by unobtrusively observing their normal behavior},
  author={Jeremy Goecks and Jude W. Shavlik},
For intelligent interfaces attempting to learn a user's interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each training instance, and few users are willing to do so. We present an approach that circumvents the need for human-labeled pages. Instead, we learn “surrogate” tasks where the desired output is easily measured, such as the number of hyperlinks clicked on a page or the amount of scrolling performed. Our assumption is that… CONTINUE READING
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Personal WebWatcher: Implementation and Design, Technical Report IJS-DP-7472, Department for Intelligent Systems, J.Stefan

  • D. Mladenic
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