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

Yutaka Matsuo*, Hayato Fukuta, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
編集者A. El Kamel, K. Mellouli, P. Borne
ページ175-180
ページ数6
6
出版ステータスPublished - 2002
外部発表はい
イベント2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
継続期間: 2002 10 62002 10 9

Other

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

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 制御およびシステム工学

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