Monday, June 3, 2013
09:00 AM - 09:30 AM
|Level: ||Technical - Intermediate|
|Location: ||Grand B|
With over 200 million people walking into stores each week, 43+ million unique visitors per month online, and access to the full twitter fire-hose (i.e. 200 million tweets per day), we at WalmartLabs are processing large amounts of data to help connect people to products and also provide unexpected insights to merchants.
How do we turn this data into insights? How do we combine data internal to an enterprise with social data such as tweets and data from the "traditional" Web such as Wikipedia? When is social and web data useful? These are key questions when building any Big Data system.
In this talk, I will discuss our work in this area and give examples of where social and web data was used to solve some key challenges faced when building the eCommerce search engine of the world’s largest retailer.
Abhishek Gattani is the creator of Polaris – the search engine for the second largest eCommerce retailer in the world. At WalmartLabs, he heads a diverse group of product and engineering teams which build the next gen platforms for product search, store search, product discovery, and merchant insights to help manage and grow the eCommerce business on the web, mobile, and internationally. Previously, he was Director of Engineering at Kosmix (acquired by Walmart) where he created the Kosmix.com search engine and the social genome platform. Prior to Kosmix, he was the lead architect at Stryker and founder of two startups. Abhishek brings a strong background in big data, search relevance, social media, and computer vision; and has filed over 17 patents in these areas. Abhishek holds a Masters in Computer Engineering from Rensselaer Polytechnic Institute (RPI) where he worked on visual pattern recognition.