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Age Dependent Document Priors in Link Structure Analysis

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Advances in Information Retrieval (ECIR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3408))

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Abstract

Much research has been performed investigating how links between web pages can be exploited in an Information Retrieval setting [1,4]. In this poster, we investigate the application of the Barabási-Albert model to link structure analysis on a collection of web documents within the language modeling framework. Our model utilizes the web structure as described by a Scale Free Network and derives a document prior based on a web document’s age and linkage. Preliminary experiments indicate the utility of our approach over other current link structure algorithms and warrants further research.

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References

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Author information

Authors and Affiliations

  1. University of Magdeburg, Magdeburg, Germany

    Claudia Hauff

  2. University of Glasgow, Glasgow, United Kingdom

    Leif Azzopardi

Authors
  1. Claudia Hauff
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  2. Leif Azzopardi
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Editor information

Editors and Affiliations

  1. Departamento de Electrónica y Computación, Universidad de Santiago de Compostela, Spain

    David E. Losada

  2. Departamento de Ciencias de la Computación e Inteligencia Artificial E.T.S.I. Informática y de Telecomunicación, Universidad de Granada, 18071, Granada, Spain

    Juan M. Fernández-Luna

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© 2005 Springer-Verlag Berlin Heidelberg

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Hauff, C., Azzopardi, L. (2005). Age Dependent Document Priors in Link Structure Analysis. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_48

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  • DOI: https://doi.org/10.1007/978-3-540-31865-1_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25295-5

  • Online ISBN: 978-3-540-31865-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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