Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
Database Support for Automatic Web Queries Categorization
verfasst von : Ernestina Menasalvas Ruiz, Santiago Eibe Garcia
Erschienen in: Methods and Supporting Technologies for Data Analysis
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The increasing usage of web search engines together with the potential added value of knowing user interests when submitting a query are in the roots of the categorization of web queries research. Categorizing queries is challenging both for the problems associated to gathering and analyzing user context information and for the ones related to deployment of the knowledge obtained. Related to the first one, an interesting open problem is to analyze the mapping, if any, between user queries and the content shown by the portal at the main page. The automatization of this problem would be very beneficial and among the challenges we underlay the implementation of a database to support the process. In this chapter, we firstly review the main approaches for web query categorization and then we concentrate on analysing the process and the database support required for its automatization.