Multiple Topic Detection by Parametric Mixture Models (PMM)-Automatic Web Page Categorization for Browsing

摘要

The article explains a statistical model called PMM (parametric mixture models) for efficiently detecting multiple topics in documents such as Web pages describing a wide variety of contents. It also shows that in experiments using a set of real Web pages, PMM outperformed conventional methods in terms of topic detection performance.