An intelligent news recommender agent for filtering and categorizing large volumes of text corpus
✍ Scribed by Jung-Hsien Chiang; Yan-Cheng Chen
- Book ID
- 102279703
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 337 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
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 newsrecommending process. We show this approach with standard benchmark examples of the Reuters-21578 in order to verify the effectiveness of news recommending.