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The Snippets Taxonomy in Web Search Engines

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Perspectives in Business Informatics Research (BIR 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 365))

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Abstract

In this paper authors analyzed 50 000 keywords results collected from localized Polish Google search engine. We proposed a taxonomy for snippets displayed in search results as regular, rich, news, featured and entity types snippets. We observed some correlations between overlapping snippets in the same keywords. Results show that commercial keywords do not cause results having rich or entity types snippets, whereas keywords resulting with snippets are not commercial nature. We found that significant number of snippets are scholarly articles and rich cards carousel. We conclude our findings with conclusion and research limitations.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Economics in Katowice, 40-287, Katowice, Poland

    Artur Strzelecki & Paulina Rutecka

Authors
  1. Artur Strzelecki
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  2. Paulina Rutecka
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Corresponding author

Correspondence to Artur Strzelecki .

Editor information

Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Małgorzata Pańkowska

  2. University of Rostock, Rostock, Germany

    Kurt Sandkuhl

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Strzelecki, A., Rutecka, P. (2019). The Snippets Taxonomy in Web Search Engines. In: Pańkowska, M., Sandkuhl, K. (eds) Perspectives in Business Informatics Research. BIR 2019. Lecture Notes in Business Information Processing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-030-31143-8_13

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  • DOI: https://doi.org/10.1007/978-3-030-31143-8_13

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