EMACrawler: web search engine database freshness optimization

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dc.contributor.authorAlanoglu, Zuelfue
dc.contributor.authorAkcayol, M. Ali
dc.date.accessioned2024-09-18T21:00:40Z
dc.date.available2024-09-18T21:00:40Z
dc.date.issued2024
dc.departmentHatay Mustafa Kemal Ãœniversitesien_US
dc.description.abstractIn today's information and technology age, search engines have become an important part of our lives. However, search engines are the first to be used to access information, old and unnecessary information is included in the content offered to users. Regarding providing up-to-date data, today's search engines often cannot offer the desired success. In order to keep the data presented by web browsers up-to-date, the time of return visits must be accurately estimated. In this study, EMACrawler based on exponential moving averages is proposed to determine the revisit times, which is the most important feature that affects the performance of search engines. The proposed method is tested using precision, total coverage, and efficiency metrics. It has been seen that EMACrawler obtains the current data on the web pages accurately and quickly. As a result of the experimental studies, it has been seen that EMACrawler is more successful than other methods in obtaining up-to-date data and maintaining the freshness of the browser database.en_US
dc.identifier.doi10.2339/politeknik.1347054
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.urihttps://doi.org/10.2339/politeknik.1347054
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12817
dc.identifier.wosWOS:001196130700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWeb crawleren_US
dc.subjectupdate moduleen_US
dc.subjectdata collectionen_US
dc.subjectdata indexingen_US
dc.titleEMACrawler: web search engine database freshness optimizationen_US
dc.typeArticleen_US

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