Abstract
Clustering similar peers could benefit document retrieval in P2P systems. In this paper, we suggested a resource description based approach to cluster peers according to their topics. By combining the topic model (an extension of language model) technique and fuzzy set theory, we solve the key problems about resource generation and peer similarity calculation. Experiments performed on the standard data sets prove that our approach is more effective than the traditional method.
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Zhu, X., Han, D., Yu, Y., Zhu, W. (2005). A Novel Resource Description Based Approach for Clustering Peers. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_94
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DOI: https://doi.org/10.1007/11563952_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29227-2
Online ISBN: 978-3-540-32087-6
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