Title: Multimodal Product Matching

Research Area: Data Quality and Data Integration

Web-based entity resolution, particularly in the context of online marketplaces and e-commerce ecosystems, is a critical task for accurately identifying and matching similar product offers across the web. Traditional approaches to entity resolution have primarily relied on textual information, but the increasing availability of diverse data modalities has led to the adoption of a multimodal approach. We work on an innovative intermediate fusion architecture for multi-modal product matching that combines textual information and visual information.

Team

• Jan Pollack
• Prof. Dr. Hanna Köpcke
• Prof. Dr. Erhard Rahm

Publication

• Pollack, J. ; Köpcke, H. ; Rahm, E. Intermediate Fusion for Multimodal Product Matching
  Proc. GI-Workshop Grundlagen von Datenbanksystemen (GVDB), 2024