DirectoryRank: ordering pages in web directories

  • Authors:
  • Vlassis Krikos;Sofia Stamou;Pavlos Kokosis;Alexandros Ntoulas;Dimitris Christodoulakis

  • Affiliations:
  • Patras University, Greece;Patras University, Greece;Patras University, Greece;UCLA, USA;Patras University, Greece

  • Venue:
  • Proceedings of the 7th annual ACM international workshop on Web information and data management
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.