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   the impact of content produced on instagram social network on successful economic services of isfahan in corona crisis using a combination of genetic algorithm and forbidden search algorithm  
   
نویسنده abdolmanafi saeed ,majdameli mohammad ,neghabi aliakbar ,izadi soamyeh
منبع international journal of digital content management - 2024 - دوره : 5 - شماره : 9 - صفحه:236 -258
چکیده    Purpose: the purpose of this research was to provide a model for choosing the best content for the activity of service guilds.method: in inferential statistics, the k-s test is used for the normality of research hypotheses. for this purpose, pearson’s correlation coefficient and linear regression tests have been used through spss 21 software, and the best content generated using genetic algorithms and forbidden search were introduced.findings: analysis of research and implementation results with two collective intelligence algorithms shows that instagram has a positive and significant effect on all four dimensions and thus leads to the success of the service classes that have used instagram.conclusion: in this article, a combination model of genetic algorithm and forbidden search algorithm was chosen for users so that the best content, which of course does not contain malicious ads and cookies, etc., is introduced for the continuation of the service industry.
کلیدواژه brand and advertising dimensions ,media dimensions ,instagram ,prohibited search algorithm ,genetic algorithm
آدرس payame noor university, department of business management, iran, islamic azad university, tehran markaz branch, faculty of economics and accounting, department of economics, iran, islamic azad university, sabzevar branch, faculty of computer engineering, iran, islamic azad university, sabzevar branch, iran
پست الکترونیکی ecom.izadi@gmail.com
 
     
   
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