An intelligent news recommender agent for filtering and categorizing large volumes of text corpus
نویسندگان
چکیده
This paper presents an intelligent news recommender agent, called 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 paper. 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 expert model for text categorization. The third and more elaborate goal is to demonstrate that the proposed system is able to perform news recommending process. We illustrate this approach with standard benchmark examples of the Reuters-21578 in order to verify the effectiveness of news recommending.
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ورودعنوان ژورنال:
- Int. J. Intell. Syst.
دوره 19 شماره
صفحات -
تاریخ انتشار 2004