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Memorias de investigación
Ponencias en congresos:
AN INTEGRATED WEB-QUERY CLASSIFICATION APPROACH BASED ON ROUGH SETS
Año:2007
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Categorization of web search queries is of increasing interest not only due to increasing the effectiveness and efficiency of returned results but also for the potential revenue in coupled applications such us targeted advertising or reformulation of the query for better results. Nevertheless, categorization of the queries only based on the features of the query so far is challenging due to the small number of words in queries and the dynamism of sites and users requests. We define features of the queries based on visibility and decay of the terms they contain to be integrated with a taxonomy of concepts based on the site structure. The proposed method is basically composed of two steps: firstly some queries are categorized according to the results they return and a fast classifier is built based on these results. In a second stage, the method exploits properties of the visibility of the terms in the queries and in the front page along a period, to obtain a set of attributes that are used to further cluster queries and enrich classification. Altogether they integrate an online categorization of queries to help the site decision for targeted advertising. The classifier builder is based on Rough Set techniques integrated with traditional K-means and decision trees. Results of the classification on a site serving news and using GSA as search engine is shown
Internacional
Si
Nombre congreso
ECML/PKDD
Tipo de participación
960
Lugar del congreso
Varsovia, Polonia
Revisores
Si
ISBN o ISSN
DOI
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Título de las actas
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: María Cecilia Valencia Peláez (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Santiago Eibe Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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