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Query-log based Authority Analysis for Web Information Search

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

Luxenburger,  Julia
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/persons45720

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

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Citation

Luxenburger, J. (2004). Query-log based Authority Analysis for Web Information Search. Master Thesis, Universität des Saarlandes, Saarbrücken.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0027-F7F6-1
Abstract
The ongoing explosion of web information calls for more intelligent and personalized methods towards better search result quality for advanced queries. Query logs and click streams obtained from web browsers or search engines can contribute to better quality by exploiting the collaborative recommendations that are implicitly embedded in this information. The method presented in this work incorporates the notion of query nodes into the PageRank model and integrates the implicit relevance feedback given by click streams into the automated process of authority analysis. The enhanced PageRank scores, coined QRank scores, can be computed oine; at query-time they are combined with query-specific relevance measures with virtually no overhead. In our experiments significant improvements in the precision of search results were observed, which demonstrate the eectiveness of our model.