Navigating Complex Search Tasks with AI Copilots: Abstract and Taking Search to task

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Navigating Complex Search Tasks with AI Copilots: Abstract and Taking Search to task
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Exploring AI copilots: Supporting complex search tasks with advancements in generative AI, contextualization, and conversational experiences.

This paper is under CC 4.0 license. available on arxiv Authors: Ryen W. White, Microsoft Research, Redmond, WA, USA. Table of Links Abstract and Taking Search to task AI Copilots Challenges Opportunities The Undiscovered Country and References ABSTRACT As many of us in the information retrieval research community know and appreciate, search is far from being a solved problem. Millions of people struggle with tasks on search engines every day.

Challenges in working with tasks include how to represent them within search systems, how to observe more task-relevant activity and content to develop richer task models, and how to develop task-oriented interfaces that place tasks and their completion at the forefront of user engagement. Task complexity deserves a special focus in this article given the challenges that searchers can still face with complex tasks and the significant potential of AI to help searchers tackle complex tasks. 1.

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