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Prospector: An adaptive front-end to the Google search engine
Abstract
This paper presents Prospector a front-end to the Google search engine which, using individual and group models of users’ interests, re-ranks search results to better suit the user’s inferred needs. The paper outlines the motivation behind the development of the system, describes its adaptive components, and discusses the lessons learned thus far, as well as the work planned for the future.
Publikationstyp
ConferencePaper
Autor*in • •
Schwendtner, Christian
König, Florian
Paramythis, Alexandros
Erscheinungsdatum
2006
Fachbereich
Institut / Einrichtung
Erschienen in
LWA 2006 : Lernen – Wissensentdeckung – Adaptivität (9.–11.10.2006 in Hildesheim)
Erste Seite
56
Letzte Seite
61
URN
urn:nbn:de:gbv:hil2-opus-634
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