Meta-searches in peer-to-peer networks

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 pe...

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Bibliographic Details
Published in:Personal and ubiquitous computing 2006-10, Vol.10 (6), p.357-367
Main Authors: Lehikoinen, Juha, Salminen, Ilkka, Aaltonen, Antti, Huuskonen, Pertti, Kaario, Juha
Format: Article
Language:English
Subjects:
Efficiency
Peer to peer computing
Search engines
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Summary: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. [PUBLICATION ABSTRACT]
ISSN:1617-4909
1617-4917
DOI:10.1007/s00779-005-0054-3