How AI and Deep Learning Transform 800 Million items in 190 Countries: eBay’s Approach
In today’s global ecommerce landscape, borders are artificial, and consumers expect to transact anytime, anywhere. The challenge for eBay – one of the world’s largest online marketplaces – is enabling the best-possible commerce experience across 800 million listings from 25 million sellers in 190 countries and multiple languages. Find out how eBay’s product experience team is leveraging AI and deep learning to improve the user experience for today’s global consumer – and how they’re building machine translation and information extraction engines specific to commerce at scale.
With nearly 20 years of expertise in language technologies, Hassan Sawaf is well-recognized in the field of machine translation. As senior director of machine translation at eBay, Hassan develops tools and services in language technology to open new markets and enable more opportunities for eBay customers around the world. In his role, Hassan focuses on eBay’s efforts in emerging markets and cross border trade, helping the company develop new ways to solve the language challenge inherent in global online commerce. For the past year, Hassan and his team have developed and implemented language solutions that enable eBay shoppers to more easily access the items they need and love in their native languages, and offer seamless translation options for businesses selling on eBay. Prior to joining eBay in April 2013, Hassan held management roles with several companies in the language solutions space, including AIXPLAIN AG, AppTek Inc., Net2Voice and SAIC. Hassan speaks fluent English, German and Arabic, holds two patents, is a member of the board of directors at idenTV LLC and BlueOSS, and continues to be active in the Angel investor community. He holds a Master of Science degree in computer science from Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, and attended the university for his Ph.D. studies.