Yandong Liu joined Yahoo Labs in early 2013 working in Search Sciences. Prior to Yahoo he briefly worked as a scientist on computational advertising in a Palo Alto startup. Before that he was studying computer science at Carnegie Mellon University specializing in data mining, machine learning and their application in event detection, question answering, etc. He is particularly interested in leveraging machine learning to build real systems that are potentially useful to end users.
The Personalization Science team at Yahoo Labs provides an introduction to the science of personalization at Yahoo.
We've launched our new Tumblr blog series called “Science Powering Product” where we discuss the science behind Yahoo products.
The talk focuses on the load balancing problem in stream processing engines that exists due to the the presence of data skewness.
We discuss efficient algorithms for finding approximate frequent subgraph patterns from large graphs.