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Speaker "Long Pei" Details Back

 

Topic

Data-driven methods for improving conversion and user engagement.

Abstract

Real-time, large scale data analytics has been widely used for business decision making. With reference to both user profiles and previous behaviors, customer preference could be better understood and iteratively help audience targeting as well as personalized recommendations.

Profile

Long is a data scientist and applied researcher at eBay, he works on paid marketing and personalized recommendation. By learning users’ historical purchase related behavior patterns and the items associations among users, he builds machine learning models to help the company increase conversion, improve user engagement and earn brand loyalty.