AI RESEARCH
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
arXiv CS.AI
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ArXi:2605.23944v1 Announce Type: new We model the interaction between a user and an AI driven recommendation system. The user initiates the process by conveying preference information through a costly and noisy message. The AI assistant, acting as a Bayesian agent, interprets the user's message to form a posterior belief about their true preferences and make product recommendations.