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Prospector: An adaptive front-end to the Google search engine

  • 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.

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Metadaten
Author:Christian Schwendtner, Florian König, Alexandros Paramythis
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-634
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/05/06
Contributing Corporation:Johannes Kepler University Institute for Information Processing and Microprocessor Technology (FIM) Linz (Österreich)
Release Date:2011/05/06
Source:LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, 9. - 11. Oktober 2006
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Licence (German):License LogoDeutsches Urheberrecht