Exploring Content and Linkage Structures for Searching Relevant Web Pages

This work addresses the problem of Web searching for pages relevant to a query URL. Based on an approach that uses a deep linkage analysis among vicinity pages, we investigate the Web page content structures and propose two new algorithms that integrate content and linkage analysis for more effective page relationship discovery and relevance ranking. A prototypical Web searching system has recently been implemented and experiments on the system have shown that the new content and linkage based searching methods deliver improved performance and are effective in identifying semantically relevant Web pages.