Abstract
A personalized intelligent agent system was developed to highlight words of interest to a particular user when he/she browses web pages. The browsed web pages are first classified into several pre-defined categories to classify the page content. Each category is then described by a set of keywords that may be of interest to the user that were selected statistically. These keywords are a personalized description of the category for this user instead of a generalized description for all users. The agent can then highlight interesting keywords in web pages for fast browsing in a personalized way. Experiments show that users can be satisfied with the performance.
| Original language | English |
|---|---|
| Pages (from-to) | 989-992 |
| Journal | 清华大学学报 (自然科学版)/Journal of Tsinghua University (Science and Technology) |
| Volume | 43 |
| Issue number | 7 |
| Publication status | Published - Jul 2003 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Information processing
- User modeling
- Web agent
- Web mining
- Web navigation