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Adaptive Personalization of Web Search

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44375

Elbassuoni,  Shady
Databases and Information Systems, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44955

Luxenburger,  Julia
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Elbassuoni, S., Luxenburger, J., & Weikum, G. (2007). Adaptive Personalization of Web Search. In K. Rodden, I. Ruthven, & R. W. White (Eds.), Proceedings of the 1st Workshop on Web Information Seeking and Interaction (pp. 1-5). New York, NY, USA: ACM.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-1DD9-1
Zusammenfassung
In this paper we present a client-side approach towards per- sonalization of web search which adapts the means of per- sonalization to the user need in place. We differentiate three different search goals: re-finding known information, finding out about topics of user interest, and satisfying an ad-hoc information need. Our approach carefully balances these search modes, which is endorsed by preliminary results of a small-scale user study.