E Commerce Search

E-commerce search aims to efficiently connect users with relevant products, optimizing user experience and driving sales. Current research heavily focuses on improving retrieval and re-ranking models using multimodal information (text and images), often leveraging deep learning architectures like transformers and incorporating techniques such as attention mechanisms, contrastive learning, and reinforcement learning to enhance accuracy and personalization. These advancements are crucial for improving the efficiency and effectiveness of e-commerce platforms, impacting both user satisfaction and business revenue.