Product Matching

Product matching, the task of identifying identical products across different data sources, is crucial for e-commerce and other applications requiring efficient data integration. Current research emphasizes developing robust and scalable methods, focusing on multi-modal approaches (combining text and image data) and leveraging techniques like contrastive learning and transformer-based architectures to generate effective product embeddings. These advancements improve product discoverability, price comparison, and personalized recommendations, impacting both the efficiency of online marketplaces and the development of advanced machine learning techniques for heterogeneous data.