<ul><li>The paper discusses the development of mobile economy and the importance of efficient matching between user preferences and marketing campaigns.</li><li>It introduces PAIR, a progressive prompting augmented mining framework for constructing a marketing-oriented knowledge graph with Large Language Models (LLMs).</li><li>PAIR addresses issues such as uncontrollable relation generation, insufficient prompting ability, and high deployment cost of LLMs.</li><li>The effectiveness of the proposed framework is validated through extensive experiments and practical applications in audience targeting.</li></ul>

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation

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