AI-powered personalization: How machine learning is shaping the future of user experience

Bangar Raju Cherukuri *

Department of Information Technology, Andhra University, India.
 
Research Article
International Journal of Science and Research Archive, 2024, 12(01), 3111–3126.
Article DOI: 10.30574/ijsra.2024.12.1.0961
Publication history: 
Received on 20 April 2024 revised on 24 June 2024; accepted on 27 June 2024
 
Abstract: 
AI is changing the face of user interaction in almost every niche, including e-Commerce, social networks, and SaaS. With the help of incredible computing techniques, AI is making it possible to deliver the right content, recommendations and interacting results in front of users according to their preferences. This work discusses how personalization has developed in virtual space, from simple recommendations to subsequent and sophisticated prediction patterns. It often focuses on e-commerce sites, social networks, and SaaS applications in which user targeting, product recommendations, variable pricing, content management, and advertising contribute to customer interest. AI makes a customer’s experience smoother and more efficient by presenting products and services in a way that seamlessly meets and, in many cases, exceeds their expectations as well as the needs of the business. Nevertheless, this article also discusses issues such as data protection, the problem of algorithm inclination, and the rapidly evolving question of values inherent within deep data mining.
 
Keywords: 
Artificial Intelligence; Social Network; Machine Learning; User Interaction; GDPR
 
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