Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages within a given topic according to how informative they are about the topic. Our method works in three steps: first, it processes Web pages within a topic in order to extract structures that are called lexical chains, which are then used for measuring how informative a page is for a particular topic. Then, it measures the relative semantic similarity of the pages within a topic. Finally, the two metrics are combined for ranking all the pages within a topic before presenting them to the users.
['Vlassis Krikos', 'Sofia Stamou', 'Pavlos Kokosis', 'Alexandros Ntoulas', 'Dimitris Christodoulakis']
DirectoryRank: ordering pages in web directories