Non-textual document ranking using crawler information and web usage mining

  • Authors:
  • Maciej Kiewra;Ngoc Thanh Nguyen

  • Affiliations:
  • Fujitsu Services, Spain, Spain;Institute of Information Science and Engineering, Wroclaw University of Technology, Poland

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Document ranking creation has a big impact on the whole IR system. The characteristics of the local rankings differ from the global rankings, because the local system can access information unavailable for the global search engines. The purpose of this paper is to discuss non-textual factors that may influence on a document's ranking position and to present a new method of document ranking calculation (RosaRanking) that can be useful for local search engines, recommendation systems etc.