Nowcasting Mobile Games Ranking Using Web Search Query Data

In recent years, the Internet has become embedded into the purchasing decision of consumers. The purpose of this paper is to study whether the Internet behavior of users correlates with their actual behavior in computer games market. Rather than proposing the most accurate model for computer game sa...

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Main Author: Yoones A. Sekhavat
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2016/9859813
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author Yoones A. Sekhavat
author_facet Yoones A. Sekhavat
author_sort Yoones A. Sekhavat
collection DOAJ
description In recent years, the Internet has become embedded into the purchasing decision of consumers. The purpose of this paper is to study whether the Internet behavior of users correlates with their actual behavior in computer games market. Rather than proposing the most accurate model for computer game sales, we aim to investigate to what extent web search query data can be exploited to nowcast (contraction of “now” and “forecasting” referring to techniques used to make short-term forecasts) (predict the present status of) the ranking of mobile games in the world. Google search query data is used for this purpose, since this data can provide a real-time view on the topics of interest. Various statistical techniques are used to show the effectiveness of using web search query data to nowcast mobile games ranking.
format Article
id doaj-art-74cab27ae02c4104b13a2c88308e7445
institution Kabale University
issn 1687-7047
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publishDate 2016-01-01
publisher Wiley
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series International Journal of Computer Games Technology
spelling doaj-art-74cab27ae02c4104b13a2c88308e74452025-02-03T05:58:05ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552016-01-01201610.1155/2016/98598139859813Nowcasting Mobile Games Ranking Using Web Search Query DataYoones A. Sekhavat0Faculty of Multimedia, Tabriz Islamic Art University, Hakim Nezami Square, Azadi Blvd., East Azerbaijan, Tabriz, IranIn recent years, the Internet has become embedded into the purchasing decision of consumers. The purpose of this paper is to study whether the Internet behavior of users correlates with their actual behavior in computer games market. Rather than proposing the most accurate model for computer game sales, we aim to investigate to what extent web search query data can be exploited to nowcast (contraction of “now” and “forecasting” referring to techniques used to make short-term forecasts) (predict the present status of) the ranking of mobile games in the world. Google search query data is used for this purpose, since this data can provide a real-time view on the topics of interest. Various statistical techniques are used to show the effectiveness of using web search query data to nowcast mobile games ranking.http://dx.doi.org/10.1155/2016/9859813
spellingShingle Yoones A. Sekhavat
Nowcasting Mobile Games Ranking Using Web Search Query Data
International Journal of Computer Games Technology
title Nowcasting Mobile Games Ranking Using Web Search Query Data
title_full Nowcasting Mobile Games Ranking Using Web Search Query Data
title_fullStr Nowcasting Mobile Games Ranking Using Web Search Query Data
title_full_unstemmed Nowcasting Mobile Games Ranking Using Web Search Query Data
title_short Nowcasting Mobile Games Ranking Using Web Search Query Data
title_sort nowcasting mobile games ranking using web search query data
url http://dx.doi.org/10.1155/2016/9859813
work_keys_str_mv AT yoonesasekhavat nowcastingmobilegamesrankingusingwebsearchquerydata