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Internet Data Analysis for Evaluation of Optimal Location of New Facilities

  • Liubov Oleshchenko
  • Daria Bilohub
  • Vasyl Yurchyshyn
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 836)

Abstract

Today, most purchases and orders for various services are made via the Internet. Network users are looking for the products they need, rest facilities and evaluate the positive and negative reviews from other users. By using web analytics tools, we can understand the search prospects of the requests, the likes and the popularity of a particular institution in a certain area of the city, as well as understand which areas of the city need such institutions most of all. Thus, we can create software to determine the best places to build new recreational facilities that will take into account the search needs, territorial peculiarities and the popularity of institutions - potential competitors. In this article, current software solutions and their disadvantages for solving the problem of determining the optimal location of the future institution of rest within the city are analyzed. The data on positive reviews, search and site visits statistics is analyzed. On the basis of the obtained data, a probabilistic model of optimal placement of the institution is constructed taking into account the distance of the institutions and their possible range of influence. Software solution, which allows you to simulate the optimal location of the future rest establishment, using only Internet data is proposed.

Keywords

Internet data analysis Visualization Web statistics Mapping data Software Google maps Huff model Search query stats Hospitality probability Web services Web resource analysis C# 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Systems SoftwareIgor Sikorsky Kyiv Polytechnic InstituteKyivUkraine

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