Abstract
This article presents an intelligent news recommender agent (INRA), which can be used to filter news articles as well as to recommend relevant news for individual user automatically. Three specific objectives underlie the presentation of the intelligent news recommender agent in this study. The first is to describe the basic architecture of this approach, and the second is to show the design of the fuzzy hierarchical mixture of the expert model for text categorization. The third and more elaborate goal is to show that the proposed system is able to perform a news-recommending process. We show this approach with standard benchmark examples of the Reuters-21578 in order to verify the effectiveness of news recommending.
| Original language | English |
|---|---|
| Pages (from-to) | 201-216 |
| Number of pages | 16 |
| Journal | International Journal of Intelligent Systems |
| Volume | 19 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2004 Mar |
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Human-Computer Interaction
- Artificial Intelligence