Smarter search engines -- using personalization to improve search resultsPublic
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.
- Date created
- Resource type
- Rights statement
- In Collection:
|Thumbnail||Title||Visibility||Embargo Release Date||Actions|
Permanent link to this page: https://digital.wpi.edu/show/w0892f043