Comparison Google’s and Yandex’s search algorithms
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Published:
Sep 30, 2017
Issue Vol. 4 (2017)
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Main Article Content
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Authors
Oleh Bihun
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Marek Miłosz
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Abstract
The article presents the results of a comparative analysis Google’s and Yandex’s search algorithms. The analysis was made from the point of view of search speed and number of results. Google and Yandex were compared for search in Russian and English language, using the method of weighted criteria. Multi-criteria analysis allowed to find faster and efficient search engine.
Keywords:
search engine; comparison; search algorithms
References
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[2] K. Маннинг, Введение в информационный поиск, Вильямс (2011), 115-117.
[3] B. Белозеров, Эффективность систем Гугл и Яндекс для поиска учебного материала (2015), 254-255.
[4] T. Borek, K. Cichosz, Wprowadzenie do optymalizacji wielokryterialnej, Akademia górniczo-hutnicza, Kraków, 2017
[5] T. Lachowicz, Optymalizacja wielokryterialna decyzji w zagadnieniach bezpieczeństwa funkcjonowania podmiotu, Studia Ekonomiczne, Uniwersytet Ekonomiczny w Katowicach, no. 235 (2015), 144-145.
[6] E. Schmidt, J. Rosenberg, How Google Works, 2014.
[7] www.spravki.se-ua.net/yandex, Как работает яндекс [28.04.2017]
[8] Z. Joyner, Slaying the Search Engine Dragon: Smarter, More Efficient Internet Searches, University of Georgia School of Law (2016), 11-15.
[9] R. Meusel, P. Mika, R. Blanco, Focused Crawling for Structured Data, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (2014), 1039-1048.
[10] D. Nandy, H. Gohel, F. Kalyani, M. Khakhariya, Duckduckgo vs. Google search engine – comparative analysis, GRD Journals, Volume 2, Issue 1, 2016.
[11] P. Chen, H. Xie, S. Maslov, S. Redner, Finding scientific gems with Google’s PageRank algorithm, Journal of Informetrics, Boston, 2007
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