Structured Product

Structured product data, crucial for efficient e-commerce operations, is the focus of ongoing research aiming to improve product search, recommendations, and compatibility prediction. Current efforts leverage large language models (LLMs) like GPT and similar architectures, along with transformer-based methods and hybrid approaches combining lexical and semantic techniques, to extract and organize product attributes from diverse sources (text, images). This research significantly impacts e-commerce by enhancing customer experience through more accurate and relevant search results, personalized recommendations, and improved product information accessibility, ultimately driving sales and efficiency.