Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Research for Quality Evaluation of Web Pages Focused on SEO Internal Measures
Shigenori TANAKAKenji NAKAMURAToshio TERAGUCHIYuhei YAMAMOTOKazuma SAKAMOTOMasaya NAKAHARANaoki KUSUMOTOTatsuma IWAMOTO
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 1 Pages 269-280

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Abstract

With progress of Web production technology, websites are being mass-produced every day all over the world. In the context of roadside stations gaining attention as hubs for regional revitalization, there is a current reevaluation of the creation and operation of websites for each roadside station, addressing the challenge of insufficiently showcasing the diverse charms of different regions. As users commonly browse websites with higher search rankings in web searches, it becomes crucial to ensure that the web-sites of roadside stations rank prominently in search results. Therefore, it is difficult to formulate coun-termeasure policy for own website. In this research, we propose a present method to evaluate SEO measures items from relation to search ranking by analyzing many applicated web pages comprehen-sively. These web pages retrieved from web search engine using sets of search queries related to main keywords of website.

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© 2024 Japan Society of Civil Engineers
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