Intelligent content-based document delivery via automatic filtering profile generation

We develop an intelligent document delivery approach for filtering text information. Our approach can conduct content-based filtering via a machine learning technique which automatically constructs a filtering profile from training examples. The profiles, encoded in rule representation, are easily understood by human. Good features of high predictive power for the learning process are automatically extracted from the document content. As a result, our approach is able to operate without any prior information or restriction of the topic areas and yet achieve the filtering task. We have conducted an extensive simulation study to analyze the performance of our approach. We have also implemented a practical intelligent news article delivery system based on our approach. Both simulation study as well as practical experiments use real-world document collections and the results demonstrate that our approach is effective. ©1999 John Wiley & Sons, Inc.