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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">MOSCOW ECONOMIC JOURNAL</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">MOSCOW ECONOMIC JOURNAL</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Московский экономический журнал</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2413-046X</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">74722</article-id>
   <article-id pub-id-type="doi">10.24411/2413-046Х-2018-15068</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Экономическая теория</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Economic theory</subject>
    </subj-group>
    <subj-group>
     <subject>Экономическая теория</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">КЛАСТЕРИЗАЦИЯ ВОПРОСИТЕЛЬНЫХ ЗАПРОСОВ ПО UK И US</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>КЛАСТЕРИЗАЦИЯ ВОПРОСИТЕЛЬНЫХ ЗАПРОСОВ ПО UK И US</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Плотников</surname>
       <given-names>А. В.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Plotnikov</surname>
       <given-names>A. V.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Пермский государственный аграрно-технологический университет им. академика Д.Н. Прянишникова</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Пермский государственный аграрно-технологический университет им. академика Д.Н. Прянишникова</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2018-11-25T14:01:20+03:00">
    <day>25</day>
    <month>11</month>
    <year>2018</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2018-11-25T14:01:20+03:00">
    <day>25</day>
    <month>11</month>
    <year>2018</year>
   </pub-date>
   <volume>3</volume>
   <fpage>28</fpage>
   <lpage>28</lpage>
   <history>
    <date date-type="received" iso-8601-date="2018-11-07T14:01:20+03:00">
     <day>07</day>
     <month>11</month>
     <year>2018</year>
    </date>
    <date date-type="accepted" iso-8601-date="2018-11-15T14:01:20+03:00">
     <day>15</day>
     <month>11</month>
     <year>2018</year>
    </date>
   </history>
   <self-uri xlink:href="https://ecience.ru/en/nauka/article/74722/view">https://ecience.ru/en/nauka/article/74722/view</self-uri>
   <abstract xml:lang="ru">
    <p>Анализ поисковых запросов, по которым на сайт приходят посетители из поисковых систем достаточно актуален, т.к., понимая интенты пользователей, можно спрогнозировать количество визитов на сайт, применяя теорию вероятностей, можно спрогнозировать конверсию и количество заключенных контрактов. Основная суть исследования состоит в том, чтобы поисковые запросы разбить на кластеры методом Ward по UK и US, содержащие общие интенты пользователей сети Интернет. В результате образовалось два кластера по UK и три по US.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Analysis of search queries, which come to the site visitors from search engines is quite relevant. Because understanding the intents of users can predict the number of visits to the site. It is possible to predict the conversion and the number of contracts by applying the theory of probability. The main essence of the study is the clustering of search queries by the Ward method for the UK and US. The queries in the clusters contain a common intent of users of the Internet. As a result, were formed two clusters of UK and three of US.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>интернет-маркетинг</kwd>
    <kwd>цифровая экономика</kwd>
    <kwd>поисковый маркетинг</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Google Trends</kwd>
    <kwd>Internet Marketing</kwd>
    <kwd>Digital Economy</kwd>
    <kwd>Search Engine Marketing</kwd>
    <kwd>Google Trends</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p>Analysis of search queries, which come to the site visitors from search engines is quite relevant. Because understanding the intents of users can predict the number of visits to the site. It is possible to predict the conversion and the number of contracts by applying the theory of probability. The main essence of the study is the clustering of search queries by the Ward method for the UK and US. The queries in the clusters contain a common intent of users of the Internet. As a result, were formed two clusters of UK and three of US.</p>
 </body>
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