Homepage finding in hybrid peer-to-peer networks

  • Authors:
  • Enrico Bragante;Massimo Melucci

  • Affiliations:
  • University of Padua;University of Padua

  • Venue:
  • Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show that the proposed ranking scheme permits to find the correct homepages after exploring a small portion of a hybrid, hierarchical peer-to-peer network when the group of peers which includes the peer that stores the correct homepage is selected. A large, highly heterogeneous Web data test collection searched by homepage finding queries was used. The low computational overhead and the good effectiveness allow for an implementation in information retrieval environments.