Comparison Google’s and Yandex’s search algorithms
Oleh Bihun
oleh.bihun@pollub.edu.plInstitute 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 algorithmsReferences
[1] C. Симонович, Информатика. Базовый курс, СПб: «Питер» (2007), 85-88.
[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
[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
Bihun, O., & Miłosz, M. (2017). Comparison Google’s and Yandex’s search algorithms . Journal of Computer Sciences Institute, 4, 128–130. https://doi.org/10.35784/jcsi.609
Authors
Oleh Bihunoleh.bihun@pollub.edu.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
Authors
Marek MiłoszInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
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