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 language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Editors | A. El Kamel, K. Mellouli, P. Borne |
| Pages | 175-180 |
| Number of pages | 6 |
| Volume | 6 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia Duration: 2002 Oct 6 → 2002 Oct 9 |
Other
| Other | 2002 IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| Country/Territory | Tunisia |
| City | Yasmine Hammamet |
| Period | 02/10/6 → 02/10/9 |
Keywords
- Browsing support
- Keyword extraction
- Proxy server
- User profile
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering