A Comprehensive Review of AI-Driven Personalization
Abstract
AI-driven personalisation has become a foundational component of modern intelligent systems, enabling adaptive, user-centric experiences across diverse application domains such as healthcare, finance, education, e-commerce, and intelligent user interfaces. Traditional personalisation approaches based on static rules and predefined user segments are increasingly inadequate for handling complex, dynamic, and large-scale user behaviour data. With the rapid advancement of artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques, personalisation systems have evolved into intelligent frameworks capable of learning user preferences, predicting future behaviour, and continuously adapting system responses in real time.
Fields of Study & Subjects
Recommender Systems and Techniques
Artificial Intelligence Applications
AI in Service Interactions
Publication details
- Journal / source
- International journal of research and scientific innovation
- Volume
- 12
- Issue
- 12
- Pages
- 1500–1511
- Publication date
- 1 January 2026