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

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Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

  • Search engine optimization
  • Text summarization
  • Website summarization
  • Meta description
  • SEO
  • On-page SEO

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Notes

  1. 1.

    http://dmoztools.net/.

  2. 2.

    https://wordnet.princeton.edu/.

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Correspondence to Goran Matošević .

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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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