Building decision trees to identify the intent of a user query

Marcelo Mendoza, Juan Zamora

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

In this work we explore the use of decision trees to identify the intent of a user query, based on informational, navigational, and transactional categorization. They are based on decision trees, using the C4.5 implementation. The classifier will be built from a query data set larger than any previously used, allowing the conclusions to have a greater reach. Unlike previous works, we will explore features that have not been evaluated before (e.g. PageRank) combined with features based on text and/or click-through data. The results obtained are very precise and the decision tree obtained allows us to illustrate relations among the variables used for classification determining which of these variables are more useful in the classification process.

Idioma originalInglés
Título de la publicación alojadaKnowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Páginas285-292
Número de páginas8
EdiciónPART 1
DOI
EstadoPublicada - 2009
Publicado de forma externa
Evento13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago, Chile
Duración: 28 sept. 200930 sept. 2009

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen5711 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
País/TerritorioChile
CiudadSantiago
Período28/09/0930/09/09

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