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A New Taxonomy of Web Search: A User-Centered Framework for Search Intent in the AI Era

Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak

2026Year
2Citations

Abstract

Web search engines have evolved drastically over the past two decades, transitioning from simple link providers to direct answer providers. AI technologies, particularly generative large language models, have accelerated this shift by embedding conversational and personalized features directly into search systems. As a result, user expectations and approaches to search have fundamentally changed.

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