A New Taxonomy of Web Search: A User-Centered Framework for Search Intent in the AI Era
作者
Elsa Lichtenegger,Aleksandra Urman,Anikó Hannák
出处
期刊:日期:2026-04-13卷期号:: 1-16被引量:1
标识
DOI:10.1145/3772318.3791050
摘要
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.