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Developing, Promotion and Search Engine Optimization and Web-site Analysis Using Yandex.ru Features

Student: Bezruchko Igor

Supervisor: Victor Victorovich Marshirov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2016

The subject of the research is to study the modern approaches in SEO on the example of Yandex search engine. The object of the study are the processes of formation of organic extradition in selected search engine. The aim of this study is to assess the prospects for the development of Yandex search engine based on the experiences of “English-speaking” Internet, as well as development of the promotion strategy with the main Yandex recommendations. In the framework of the project there are specific tasks, which should be done to solve the problems stated bellow: 1) Studying the existing strategies and methodologies used by non-Russian SEOs 2) Elaborating criteria for development and promotion strategy for web-site considering with non-Russian SEOs recommendations 3) Elaborating criteria for development and promotion strategy for web-site considering Yandex recommendations 4) Elaborating strategic plan for the development of a new web site Thesis performed on seventy-nine pages, consists of introduction, five chapters, conclusion and bibliography, consisting of twenty-one online source. The relevance of this work lies in the fact that modern business can not be successfully developed without the full quality presence on the Internet. An increase in the e-commerce sphere in the daily life of the average citizen prompted the development of SEO. This is a relatively new direction for IT-specialists which is currently developing around the world. The only thing that experts say is that global SEO trends come in RuNet with some delay. Thats why it is important to study the major search engine promotion trends of English web-sites to work in the Russian online space. The results of this work can be used SEO-experts, as well as developers of websites.

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