Future Internet, Volume 13, Issue 1 (January 2021) – 21 articles
Cover Story (view full-size image): In this study, machine learning and expert knowledge are employed to classify web pages according to the degree of content adjustment to the search engine optimization (SEO) recommendations. The experimental results show that machine learning can be used to predict the degree of adjustment of web pages to the SEO recommendations. The practical significance of the proposed approach is in providing the core for building software agents to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. The results of this study enable the determination of optimal values of ranking factors that search engines use to rank web pages. View this paper.
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