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  Automatic Document Organization in a P2P Environment

Siersdorfer, S., & Sizov, S. (2006). Automatic Document Organization in a P2P Environment. In Advances in Information Retrieval, 28th European Conference on IR Research, ECIR 2006 (pp. 265-276). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2231-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2233-8
Genre: Conference Paper

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 Creators:
Siersdorfer, Stefan1, Author           
Sizov, Sergej1, Author           
Lalmas, Mounia, Editor
MacFarlane, Andy, Editor
Rüger, Stefan M., Editor
Tombros, Anastasios, Editor
Tsikrika, Theodora, Editor
Yavlinsky, Alexei, Editor
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1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We consider this problem in the context of distributed Web exploration applications like focused crawling. Typical applications are user-specific classification of retrieved Web contents into personalized topic hierarchies as well as automatic refinements of such taxonomies using unsupervised machine learning methods (e.g. clustering). Our approach is to combine models from multiple peers and to construct the advanced decision model that takes the generalization performance of multiple 'local' peer models into account. In addition, meta algorithms can be applied in a restrictive manner, i.e. by leaving out some 'uncertain' documents. The results of our systematic evaluation show the viability of the proposed approach.

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Language(s): eng - English
 Dates: 2007-02-132006
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: eDoc: 314552
Other: Local-ID: C1256DBF005F876D-686F5341FFBC7F5EC12571330032F5D1-SiersdorferS2006
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Title: Untitled Event
Place of Event: London, UK
Start-/End Date: 2006-04-10

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Title: Advances in Information Retrieval, 28th European Conference on IR Research, ECIR 2006
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 265 - 276 Identifier: ISBN: 978-3-540-33347-0

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 3936 Sequence Number: - Start / End Page: - Identifier: -