Document Type : Original Article

Authors

1 Assistant Professor, Department of Business Management, Payame Noor University, Tehran, Iran

2 Professor, Department of Economics, Faculty of Economics and Accounting, Islamic Azad University, Tehran Markaz Branch, Iran

3 Assistant Professor, Faculty of Computer Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran

4 Ph.D. Candidate in Information Technology Engineering, Electronic Commerce, Islamic Azad University, Sabzevar Branch, Iran

Abstract

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.

Keywords

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