Product Description Generation
Product description generation aims to automatically create compelling and informative product descriptions for e-commerce, improving search visibility and customer engagement. Current research focuses on leveraging large language models (LLMs), often augmented with multimodal inputs (images, keywords) and techniques like retrieval-augmented generation and in-context tuning, to generate diverse and accurate descriptions. These advancements significantly reduce human workload, enhance product discovery, and improve user experience across various e-commerce platforms, demonstrating the practical impact of AI in this domain.
Papers
September 19, 2024
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December 16, 2021