Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web

Web navigation hierarchies, such as Yahoo.com and Open Directory Project, enable effective browsing, their individual nodes cannot be indexed for search independently. This is because contents of the individual nodes in a hierarchy are related to the contents of their neighbors, ancestors, and descendants in the structure. In this paper, the authors show that significant improvements in precision can be obtained by leveraging knowledge about the structure of hierarchical web content. In particular, they propose a novel keyword weight propagation technique to properly enrich the data nodes in web hierarchies.