The News Extracting System Based on S-K Filtering Mode

Internet has brought about the problem of "information overload". How to liberate the journalists from the heavy network news filtering works is a significant challenge. In this paper a new information filtering method based on S-K (social learning and knowledge base) model is brought forward through the research of the existing information filtering technology. This approach can lead the users to study the Web media they are interested with (social learning), and then care for their own demands (user knowledge base). Finally, the S-K filtering model and the concrete realization of the news extracting system are presented.