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CSOC2018 2018: Artificial Intelligence and Algorithms in Intelligent Systems pp 165–173Cite as

Text Summarization Techniques for Meta Description Generation in Process of Search Engine Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 764))

Abstract

Search engine optimization involves various techniques which web site creators and marketers can apply on web pages with goal of ranking higher in popular search engines. One of important ranking factors is “meta description” - a short textual description of the website which is put inside web page header accessible to web spiders. In this paper we investigate if existing text summarization techniques can be used to artificially build “meta description” for websites which are missing it. Also, we propose a simple query based algorithm for generation of “meta description” content based on some summarization techniques. The experimental results and expert evaluation show that proposed algorithm for text summarization can successfully be used in this context. Results of this research can be used to build recommender system for improvement of search engine optimization of a webpage.

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Notes

  1. 1.

    http://dmoztools.net/.

  2. 2.

    https://wordnet.princeton.edu/.

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Author information

Authors and Affiliations

  1. Faculty of economics and tourism “Dr. Mijo Mirković”, P. Preradovića 1/1, 52100, Pula, Croatia

    Goran Matošević

Authors
  1. Goran Matošević
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Correspondence to Goran Matošević .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Matošević, G. (2019). Text Summarization Techniques for Meta Description Generation in Process of Search Engine Optimization. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_17

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