ANALYSIS OF IMPROVEMENTS IN THE SEARCH ENGINE ALGORITHMS OF YANDEX AND GOOGLE
Abstract and keywords
Abstract (English):
The article describes improvements in the search engine algorithms of Yandex and Google. It is analyzed and presented the main directions of improving the search engine algorithms. Based on the present principles of algorithms developers can raise their sites in the search engine results page (SERPs). The article can be useful to designers and web developers, students, undergraduates and postgraduates in the fields of information technology.

Keywords:
search engine, ranking sites, search engine algorithm, search resource, Google, Yandex.
Text
Text (PDF): Read Download
References

1. Chu H., Rosenthal M. Search Engines for the World Wide Web: A Comparative Study and Evaluation Methodology. Proceedings of the Annual Meeting-American Society for Information Science. 1996. Vol. 33. P. 127-135.

2. Tarakeswar M.K., Kavitha M.D. Search Engines: A Study. Journal of Computer Applications (JCA). 2011. Vol. 4, №1. P. 29-33.

3. Ashmanov I.S., Ivanov A.A. Prodvizhenie sayta v poiskovykh sistemakh. ID Vil´yams, 2011. S. 71.

4. Reyting poiskovykh sistem [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: http://www.gs.seo-auditor.com.ru/sep/ (data obrashcheniya: 27.02.2017)

5. Pesterev P.V., Rudyuk A.P., Yanishevskaya A.G. Perspektivy razvitiya poiskovykh sistem Runeta na osnove obzora algoritmov Yandeksa / Informatsionnye tekhnologii v nauke i proizvodstve: materialy Vseros. molod. nauch.-tekhn. konf. (Omsk, 9-10 fevr. 2015 g.) / M-vo obrazovaniya i nauki RF, OmGTU; M-vo obrazovaniya Omskoy obl.. Omsk: Izd-vo OmGTU, 2015. S. 38-41.

6. Novyy personal´nyy poisk Yandeksa [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/company/press_releases/2013/0530/ (data obrashcheniya: 27.02.2017)

7. Yandeks daet personal´nyy otvet [Elek-tronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/company/press_releases/2012/1212 (data obrashcheniya: 27.02.2017)

8. Ostrova Yandeksa [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/blog/company/66690 (data obrashcheniya: 27.02.2017)

9. Novyy etap v bor´be so ssylochnym spamom [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/blog/webmaster/20143 (data obrashcheniya: 27.02.2017)

10. Algoritm «Minusinsk» [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/support/webmaster/yandex-indexing/algorithm-minusinsk.xml (data obrashcheniya: 27.02.2017)

11. Ortiz-Cordova A., Jansen B.J. Classifying Web Search Queries in Order to Identify High Revenue Generating Customers. Journal of the American Society for Information Sciences and Technology. 2012. P. 1426 - 1441.

12. Optimizatsiya dlya mobil´nykh - teper´ faktor ranzhirovaniya [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/blog/webmaster/optimizatsiya-dlya-mobilnykh-teper-faktor-ranzhirovaniya (data obrashcheniya: 27.02.2017)

13. Algoritm «Palekh»: kak neyronnye seti pomogayut poisku Yandeksa [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://yandex.ru/blog/company/algoritm-palekh-kak-neyronnye-seti-pomogayut-poisku-yandeksa (data obrashcheniya: 27.02.2017)

14. Secure Your Site with HTTPS [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://support.google.com/webmasters/answer/6073543 (data obrashcheniya: 27.02.2017)

15. Shul´gina E. SEO-trendy v Google - 2017 [Elektronnyy resurs]. Sistem. trebova-niya: AdobeAcrobatReader. URL: http://artvision.pro/seo-trendy-v-google-20176073543 (data obrashcheniya: 27.02.2017)

16. Fedotova Yu. Vremya zagruzki sayta - vliyanie na nastroenie pol´zovateley [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: http://blog.getgoodrank.ru/vremya-zagruzki-sajta-vliyanie-na-nastroenie-polzovatelej/ (data obrashcheniya: 27.02.2017)

17. Google Algorithm Change History [Elektronnyy resurs]. Sistem. trebovaniya: AdobeAcrobatReader. URL: https://moz.com/google-algorithm-change#2012 (data obrashcheniya: 27.02.2017)


Login or Create
* Forgot password?