Cross Domain Product

Cross-domain product representation aims to create unified, vectorized representations of products regardless of how they are presented (e.g., images, videos, text descriptions). Current research focuses on multimodal learning approaches, often incorporating transformer-based architectures and large language models (LLMs) to integrate visual and textual data, improving product retrieval and recommendation systems. These advancements significantly enhance e-commerce search and recommendation accuracy, leading to improved user experience and increased engagement metrics across various online platforms. The development of robust and scalable cross-domain models is crucial for the continued growth of rich-content e-commerce.