Machine learning for web content personalization

Abstract

Modern web content demands maximum personalization, a task addressed by web developers using Artificial Intelligence (AI) and Machine Learning (ML). AI enables computers to perform tasks characteristic of human intelligence, while ML allows systems to learn and improve results without explicit programming. AI-driven personalization involves adapting content to individual interests, enhancing positive user experiences. Platforms based on AI, including natural language generation, enable developers to scale personalized content creation. Personalization, facilitated by advanced technologies, transforms user interaction from generic to individualized experiences. The future of web content personalization relies on advancements in AI and ML, opening new possibilities for improved user engagement, loyalty, and conversion. The utilization of AI and ML already presents broad prospects for personalized web content.