Analysis of user behavior in online stores using deep learning
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
At the international level as well as in Iran, despite the increase in the use of social networks and internet sites and with the increase in the number of internet users, serving these users has become very important. But since social networks and websites focus more on the quality of their products according to the opinions of their users, they do not pay attention to the level of security and reliability, and even when the behavior of customers is analyzed. No attention is paid to unusual and profit-seeking users. The main idea of this research is to investigate customer behavior and predict their behavior in the future based on deep learning in order to increase the quality of service to valid users. In this research, a method based on deep learning technique is presented, with the help of which the behavior of users in virtual stores is analyzed. The purpose of analyzing the behavior of users is to identify the customer's tendency or orientation about a specific product. In the proposed method of this research, after the initial processing of user behavior and feature extraction, the deep neural network algorithm is used to train a set of data. The proposed method has been implemented in MATLAB software. To evaluate the method of this research, we have used conventional criteria used in data mining applications, such as accuracy, readability, and F score. For this purpose, experiments have been performed and various evaluations have been presented. According to the conducted tests, it can be seen that the proposed method is the first priority in terms of data mining evaluation criteria. Also, by applying the methods and using the results of this research, in order to create security and reduce risks for various activities in the information society and protect the values of the society, it is possible to predict the behavior of customers on certain sites.
Keywords:
Language:
Persian
Published:
journal of Information and communication Technology in policing, Volume:4 Issue: 13, 2023
Pages:
30 to 40
https://www.magiran.com/p2717188
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