Using Neural Networks’ benefits in Social Media Design for Advertising

Document Type : Original Article

Authors

1 Teaching Assistant at the Faculty of Applied Arts, Badr University, Assiut

2 عميد كلية الفنون التطبيقية جامعة بدر فرع اسيوط

3 Advertising section College of Applied Arts Helwan University

Abstract

Artificial neural networks are simulations that represent the structure of the human brain. Neural networks consist of processing units known as nodes or nerve cells (neurons). These networks are defined by the ability to learn from data through information feeding in order to recognize images, sounds, language, process data, and expected user behaviors, through deep learning algorithms used to analyses a massive quantity of data connected to human interaction. These analyses can help designers discover trends and patterns that traditional methods may not reveal. This is accomplished by understanding the user's patterns through social media networks And analyses using neural network technology with the objective of determining the content with which the audience engages the most on social media, which leads to the creation of specialized adverts that fit the needs and wishes of the users This customization improves the effectiveness of advertising, resulting in more fully predictive models of users' behavior based on data collected and stored in neural network memory, which can include the user purchasing the product, interacting with it, or searching for it in various search engines prior to launching the advertising campaign ,This highlights the importance of neural networks' ability to provide predictions and recommendations to enhance the preparation and execution of upcoming ads, as well as identify the best times for publication and the kind of content that creates the best interactive and marketing outcomes. Neural networks are used by companies to create chatbots that can interact with consumers in a natural and effective way. This improves the user experience and helps gather additional data about their preferences, which can be used to create powerful and persuasive ads that convince the user to purchase or consider the product. The user experience is enhanced and improved as a result of the user's increased perception about the brand.

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