Personalized Web Search by Constructing Semantic Clusters of User Profiles

  • Authors:

  • John Garofalakis;Theodoula Giannakoudi;Agoritsa Vopi

  • Affiliations:

  • RA Computer Technology Institute Telematics Center Department, , Greece 26500 and Computer Engineering & Informatics Dept, University of Patras, Patras, Greece 26500;RA Computer Technology Institute Telematics Center Department, , Greece 26500 and Computer Engineering & Informatics Dept, University of Patras, Patras, Greece 26500;RA Computer Technology Institute Telematics Center Department, , Greece 26500 and Computer Engineering & Informatics Dept, University of Patras, Patras, Greece 26500

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

During the recent years the Web has been developed rapidly making the efficient searching of information difficult and time-consuming. In this work, we propose a web search personalization methodology by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP), which can scale to the growth of the web. Our methodology uses ontologies to provide the semantic profiling of users' interests based on the implicit logging of their behavior and the on-the-fly semantic analysis and annotation of the web results summaries.