Revista UIS Ingenierías

Vol. 11 No. 1 (2012): Revista UIS Ingenierías
Articles

Web search model based on user context information and collaborative filtering techniques

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  • Sara Donnelly Garcés-Agredo,
  • Carlos Alberto Cobos-Lozada,
  • Luis Carlos Gómez-Flórez
Sara Donnelly Garcés-Agredo
Universidad del Cauca
Bio
Carlos Alberto Cobos-Lozada
Universidad del Cauca
Bio
Luis Carlos Gómez-Flórez
Universidad Industrial de Santander
Bio

Published 2012-06-15

Keywords

  • Information retrieval,
  • user’s context,
  • collaborative filtering,
  • query expansion,
  • Web search

How to Cite

Garcés-Agredo, S. D., Cobos-Lozada, C. A., & Gómez-Flórez, L. C. (2012). Web search model based on user context information and collaborative filtering techniques. Revista UIS Ingenierías, 11(1), 83–102. Retrieved from https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/83-102
Copyright Notice

Abstract

Despite the continuous development modern Web browsers have had, they have not fulfilled user needs, and the retrieved documents relevance is one of the main issues affecting the search quality. The proposed web search meta model engine integrates Web search collaborative filtering (based on items) to Massimo Melucci’s proposal that is based on projectors on plans that came in the user context information. The obtained model was implemented in a meta search site that retrieves documents from traditional search engines like Google and Bing. It presents the results to the user through a list of documents sorted by relevance based on information from the user’s context and the collaborative community feedback. The proposed model constitutes a contribution to the field of information retrieval, since it shows promising results in both closed collections and open collections tests.

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