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Meta-searches in peer-to-peer networks

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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.

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Authors and Affiliations

  1. Nokia Research Center, Visiokatu 1, FIN 33720, Tampere, Finland

    Juha Lehikoinen, Ilkka Salminen, Antti Aaltonen, Pertti Huuskonen & Juha Kaario

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  1. Juha Lehikoinen
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  2. Ilkka Salminen
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  3. Antti Aaltonen
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  4. Pertti Huuskonen
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  5. Juha Kaario
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Correspondence to Juha Lehikoinen.

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Lehikoinen, J., Salminen, I., Aaltonen, A. et al. Meta-searches in peer-to-peer networks. Pers Ubiquit Comput 10, 357–367 (2006). https://doi.org/10.1007/s00779-005-0054-3

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  • DOI: https://doi.org/10.1007/s00779-005-0054-3

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