Student Work

Smarter search engines -- using personalization to improve search results

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Search engines must become customized and accurate to meet the demands of the growing Web. We propose the use of filtering techniques to enhance the ability of a search engine to deliver relevant results. We have designed and implemented a working collaborative search engine, called Foible. We demonstrate the advantages of a hybrid search/recommender/ collaborative system by performing an extensive user study. Our conclusions show that users prefer intelligent search engines incorporating our new techniques over traditional means of performing searches.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • 01D015M
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Year
  • 2001
Date created
  • 2001-01-01
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Permanent link to this page: https://digital.wpi.edu/show/w0892f043