APPROXIMATE INFORMATION FILTERING WITH MULTIPLE CLASSIFICATION HIERARCHIES

Abstract

Web page categorization is an approach for improving precision and efficiency of information retrieval on the web by filtering out irrelevant pages. Current approaches to information filtering based on categorization assume the existence of a single classification hierarchy used for filtering. In this paper, we address the problem of filtering information categorized according to different classification hierarchies. We describe a method for approximating Boolean queries over class names across different class hierarchies.