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Learning What to Ask for Tomorrow: Active Preference Acquisition for Long-Term Personalized Web Agents
Web agents increasingly serve the same user across repeated online tasks such as booking travel, shopping, and scheduling, so their long-term usefulness depends on how well they know the user's preferences. Passive memory and personalization methods cannot obtain preferences the user never reveals,
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