“As a researcher my quest is understanding how algorithms can learn from different types of data and close the gap between machine and human cognition. In eBay I have the opportunity to work with fascinating data and merry research with industry needs."
Idan is working in the Catalog Research team at eBay, solving core problems, such as identification of duplicate products, attribute extraction, image quality and any other domain that can benefit from data.
Idan received a Master degree in Computer Science from Technion University in 2017 working with Prof. Tamir Hazan. The thesis is based on high order attention models for visual question answering.