A Comprehensive Review of AI-Driven Personalization

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Authors: Shastri Nigam, Shah Pujan, Ramani Urmi, Prajapati Henil, Dushyant Chawda
Cited by: 0

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