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.
| Translated title of the contribution | Personal assistant for automatically highlighting of web content |
|---|---|
| Original language | Chinese (Simplified) |
| 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 |
| DOIs | |
| 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
- 信息处理
- 网页个人代理
- 网页浏览
- 用户模型
- 网页数据挖掘
- Information processing
- Web agent
- Web navigation
- User modeling
- Web mining
Fingerprint
Dive into the research topics of 'Personal assistant for automatically highlighting of web content'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver