Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search 事件

Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search arXiv:2605.23944v1 Announce Type: new Abstract: 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. In particular, it determi