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Client-side web mining for community formation in peer-to-peer environments

Client-side web mining for community formation in peer-to-peer environments In this paper we present a framework for forming interests-based Peer-to-Peer communities using client-side web browsing history. At the heart of this framework is the use of an order statistics-based approach to build communities with hierarchical structure. We have also carefully considered privacy concerns of the peers and adopted cryptographic protocols to measure similarity between them without disclosing their personal profiles. We evaluated our framework on a distributed data mining platform we have developed. The experimental results show that our framework could effectively build interests-based communities. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGKDD Explorations Newsletter Association for Computing Machinery

Client-side web mining for community formation in peer-to-peer environments

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2006 by ACM Inc.
ISSN
1931-0145
DOI
10.1145/1233321.1233323
Publisher site
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Abstract

In this paper we present a framework for forming interests-based Peer-to-Peer communities using client-side web browsing history. At the heart of this framework is the use of an order statistics-based approach to build communities with hierarchical structure. We have also carefully considered privacy concerns of the peers and adopted cryptographic protocols to measure similarity between them without disclosing their personal profiles. We evaluated our framework on a distributed data mining platform we have developed. The experimental results show that our framework could effectively build interests-based communities.

Journal

ACM SIGKDD Explorations Newsletter – Association for Computing Machinery

Published: Dec 1, 2006

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