Product Retrieval

Product retrieval focuses on efficiently and accurately finding relevant products from vast e-commerce catalogs based on user queries, which may be textual, visual, or conversational. Current research emphasizes multimodal approaches, leveraging large language models (LLMs) and graph neural networks (GNNs) to integrate textual descriptions, visual features, and even user interaction history for improved retrieval accuracy and personalization. These advancements significantly impact e-commerce platforms by enhancing search functionality, improving user experience, and ultimately driving sales through more effective product discovery.