Combining information from multiple search engines-Preliminary comparison

  • Authors:

  • Maria Ganzha;Marcin Paprzycki;Jakub Stadnik

  • Affiliations:

  • Systems Research Institute Polish Academy of Science, ul. Newelska 6, Warsaw, Poland and University of Gdansk, ul. Wita Stwosza 57, Gdansk, Poland;Systems Research Institute Polish Academy of Science, ul. Newelska 6, Warsaw, Poland and Warsaw Management Academy, ul. Kaweczynska 36, Warsaw, Poland;Warsaw University of Technology, Warsaw, Poland

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.07

Visualization

Abstract

The total number of popular search engines has decreased over time from its peak of the late 1990s. However, when combining the three remaining major ones (Yahoo!, Google, MS Live) with large repositories of information (e.g. BBC.com, NYT.com, Gazeta.pl, etc.), the total number of important information sources can be seen as slowly increasing. Focusing on utilization of search engines only, it is easy to observe that the same query issued to each one of them results in different ''suggestions.'' The question thus arrives, is it possible (and worthy) to combine responses obtained from each one of them into a single answer set. In this paper, we look into three approaches of achieving this goal, which are based on: Game theory, Auction and Consensus methods, while our focus is to study (and compare) their ''performance.''