A Comprehensive Review of AI-Driven Personalization

Authors

Shastri Nigam

LDRP Institute of Technology & Research (India)

Shah Pujan

LDRP Institute of Technology & Research (India)

Ramani Urmi

LDRP Institute of Technology & Research (India)

Prajapati Henil

LDRP Institute of Technology & Research (India)

Prof. Dushyant Chawda

LDRP Institute of Technology & Research (India)

Article Information

DOI: 10.51244/IJRSI.2025.12120126

Subject Category: Artificial Intelligence

Volume/Issue: 12/12 | Page No: 1500-1511

Publication Timeline

Submitted: 2025-12-31

Accepted: 2026-01-05

Published: 2026-01-16

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.

Keywords

AI-Driven Personalisation, User Modelling, Recommendation Systems

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