G2TT
来源类型Research Reports
规范类型报告
DOIhttps://doi.org/10.7249/RR1197
ISBN9780833094148
来源IDRR-1197-A
Searching for Information Online: Using Big Data to Identify the Concerns of Potential Army Recruits
Salar Jahedi; Jennie W. Wenger; Douglas Yeung
发表日期2016
出版年2016
页码23
语种英语
结论
  • Google search queries can be used to better understand how interest in military careers has evolved over time and geographic location.
  • It is possible to use these tools to identify the chief Army-related concerns that potential recruits have, including the qualifications for, procedures for, or benefits of enlisting.
  • It is possible to predict with reasonable accuracy what individuals were searching for months before or after searching for Army-related terms.
  • Including Google Trends terms in a model of factors influencing the number of Army accessions increases the predictive power of the model.
摘要
  • Further research is required to better understand ways of using Internet search data to inform Army recruiting initiatives, with the eventual goal of drawing causal inferences and making accurate predictions.
  • One promising path involves combining the Google search data with a secondary data source, such as the U.S. Census Bureau, which has information about the percentage of the military-aged population within a geographic region.
  • In the same way that companies such as Amazon and Netflix recommend products or movies to individuals based on the behavior of similar shoppers, it is possible for the Army to share queried information with individuals based on what other similar individuals find most useful.
主题Big Data ; Cyber and Data Sciences ; Databases and Data Collection ; Analysis ; and Processing ; The Internet ; Military Recruitment ; United States Army
URLhttps://www.rand.org/pubs/research_reports/RR1197.html
来源智库RAND Corporation (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/108239
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Salar Jahedi,Jennie W. Wenger,Douglas Yeung. Searching for Information Online: Using Big Data to Identify the Concerns of Potential Army Recruits. 2016.
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