In recent years, the Internet has become embedded into the purchasing decision of consumers.The purpose of this paper is to study\nwhether the Internet behavior of users correlates with their actual behavior in computer games market. Rather than proposing the\nmost accurate model for computer game sales, we aim to investigate to what extent web search query data can be exploited to\nnowcast (contraction of ââ?¬Å?nowââ?¬Â and ââ?¬Å?forecastingââ?¬Â referring to techniques used to make short-term forecasts) (predict the present\nstatus of) the ranking of mobile games in the world. Google search query data is used for this purpose, since this data can provide a\nreal-time view on the topics of interest. Various statistical techniques are used to show the effectiveness of using web search query\ndata to nowcast mobile games ranking.
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