Ponencia
A Statistical Approach to URL-Based Web Page Clustering
Autor/es | Hernández Salmerón, Inmaculada Concepción
Rivero, Carlos R. Ruiz Cortés, David Corchuelo Gil, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012 |
Fecha de depósito | 2017-11-10 |
Publicado en |
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ISBN/ISSN | 978-1-4503-1230-1 |
Resumen | Most web page classifiers use features from the page content,
which means that it has to be downloaded to be classified. We
propose a technique to cluster web pages by means of their
URL exclusively. In contrast to other ... Most web page classifiers use features from the page content, which means that it has to be downloaded to be classified. We propose a technique to cluster web pages by means of their URL exclusively. In contrast to other proposals, we analyse features that are outside the page, hence, we do not need to download a page to classify it. Also, it is non-supervised, requiring little intervention from the user. Fur-thermore, we do not need to crawl extensively a site to build a classifier for that site, but only a small subset of pages. We have performed an experiment over 21 highly visited web-sites to evaluate the performance of our classifier, obtaining good precision and recall results. |
Agencias financiadoras | Junta de Andalucía Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | P08-TIC-4100
TIN2010-21744 |
Cita | Hernández Salmerón, I.C., Rivero, C.R., Ruiz Cortés, D. y Corchuelo Gil, R. (2012). A Statistical Approach to URL-Based Web Page Clustering. En WWW 2012: 21st International Conference on World Wide Web (525-526), Lyon, France: ACM. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A statistical approach.pdf | 467.7Kb | [PDF] | Ver/ | |