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2019 | OriginalPaper | Buchkapitel

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

verfasst von : Goran Matošević

Erschienen in: Artificial Intelligence and Algorithms in Intelligent Systems

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Using Query Expansion for Cross-Lingual Mathematical Terminology Extraction

Nächstes Kapitel Integration of Models of Adaptive Behavior of Ant and Bee Colony

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Titel: Text Summarization Techniques for Meta Description Generation in Process of Search Engine Optimization
verfasst von: Goran Matošević
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Algorithms in Intelligent Systems
Print ISBN: 978-3-319-91188-5

Electronic ISBN: 978-3-319-91189-2

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-91189-2_17

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