This system helps people find products by learning from their past choices and interactions. It builds a dynamic map of connections between users and products, then uses artificial intelligence to predict what someone might want. The system actively asks interactive questions and uses a conversational agent to understand user preferences, especially for digital products, continuously refining its recommendations based on feedback.
Why it matters: Rapid advancements in large language models since 2025 make the conversational agent and interactive preference gathering significantly more robust, especially for digital products.
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