Artificial Intelligence Implementation for Customer Engagement in Social Networks: an Overview of Russian and Foreign Experience

Автор: Andrey V. Sokolov, Alexey S. Shutkin, Ekaterina M. Epifanova, Alina A. Popkova , Armen L. Beklaryan, Marina A. Barulina

Журнал: Вестник Пермского университета. Серия: Математика. Механика. Информатика @vestnik-psu-mmi

Рубрика: Компьютерные науки и информатика

Статья в выпуске: 1 (68), 2025 года.

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In modern realities, artificial intelligence plays a key role in marketing, in general, and certainly in engaging new users in social networks, in particular. Neural networks and other machine learning methods are widely used in various recommendation systems, but their application for attracting new customers is underdeveloped. As we know, upscaling of any business is directly related to increasing the number of new consumers, which determines the significance of studying the issue of neuromarketing. The purpose of this study is to conduct a comparative analysis of existing Russian and foreign services for the engagement of new clients and to identify effective methods used for these purposes.

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Social networks, neural networks, SMM, customer engagement, artificial intelligence, social network analysis, classification, regression, generative intelligence

Короткий адрес: https://sciup.org/147247354

IDR: 147247354   |   DOI: 10.17072/1993-0550-2025-1-118-144

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