Browsing support by hilighting keywords based on a user's browsing history

Yutaka Matsuo, Hayato Fukuta, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We develop a browsing support system which learns user's interests and highlights keywords based on a user's browsing history. Monitoring the user's access to the Web enable us to detect "familiar words" for the user. We extract keywords, which are relevant to the familiar words in the current page, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. Preliminary reports are shown to evaluate the system.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
EditorsA. El Kamel, K. Mellouli, P. Borne
Pages175-180
Number of pages6
Volume6
Publication statusPublished - 2002
Externally publishedYes
Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
Duration: 2002 Oct 62002 Oct 9

Other

Other2002 IEEE International Conference on Systems, Man and Cybernetics
CountryTunisia
CityYasmine Hammamet
Period02/10/602/10/9

Keywords

  • Browsing support
  • Keyword extraction
  • Proxy server
  • User profile

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

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  • Cite this

    Matsuo, Y., Fukuta, H., & Ishizuka, M. (2002). Browsing support by hilighting keywords based on a user's browsing history. In A. El Kamel, K. Mellouli, & P. Borne (Eds.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 6, pp. 175-180)