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Hyperlink Recommendation Based on Positive and Negative Association Rules

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Abstract

The new HRS method for hyperlink recommendation based on positive and confined negative association rules is presented in the paper. Discovered with the new PANAMA algorithm rules are merged and used in the form of recommendation functions, both to assess the existing hyperlinks and to suggest new ones. Positively and negatively verified and new hyperlinks are presented to the content manager and can considerably facilitate the maintenance of the web site structure and its adjustment to user behaviour. The experiments confirmed the usefulness of the Hyperlink Recommender System (HRS) and in particular, of negative recommendations based on confined negative association rules.

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Authors and Affiliations

  1. Institute of Applied Informatics, Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Przemysław Kazienko & Marcin Pilarczyk

Authors
  1. Przemysław Kazienko
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  2. Marcin Pilarczyk
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Correspondence to Przemysław Kazienko.

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Kazienko, P., Pilarczyk, M. Hyperlink Recommendation Based on Positive and Negative Association Rules. New Gener. Comput. 26, 227–244 (2008). https://doi.org/10.1007/s00354-008-0042-z

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  • DOI: https://doi.org/10.1007/s00354-008-0042-z

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