Meta-searches in peer-to-peer networks

  • Authors:
  • Juha Lehikoinen;Ilkka Salminen;Antti Aaltonen;Pertti Huuskonen;Juha Kaario

  • Affiliations:
  • Nokia Research Center, Finland;Nokia Research Center, Finland;Nokia Research Center, Finland;Nokia Research Center, Finland;Nokia Research Center, Finland

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2006

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Abstract

We propose a method for carrying out enhanced collaborative searches, called meta-searches, in peer-to-peer networks. In addition to performing regular searches, our method supports searches based on other network users’ previous searches on the same or similar topic. In essence, when a user performs a search, s/he will receive not only the usual result set, but also information on other users’ previous results, as well as relevancy information (such as how many times a resource that appeared in the result set was successfully downloaded). The core components of meta-search are query relevancy calculation, query matching algorithms, and relevancy file format. In this paper we discuss the underlying concepts and principles, and describe the component design in detail. Meta-search provides a way of benefiting from other users’ successful searches without any additional effort, thus potentially improving the efficiency and experience of a search.