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 |
| 巻 | 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月 6 → 2002 10月 9 |
Other
| Other | 2002 IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| 国/地域 | Tunisia |
| City | Yasmine Hammamet |
| Period | 02/10/6 → 02/10/9 |
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