Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Jure Leskovec

Jure Leskovec
Chief Scientist, Pinterest


Jure Leskovec is chief scientist at Pinterest and associate professor of computer science at Stanford University. Jure’s research focuses on computation over massive data and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Jure holds a bachelor’s degree in computer science from the University of Ljubljana, Slovenia, and a PhD in machine learning from Carnegie Mellon University and undertook postdoctoral training at Cornell University.


11:50am12:30pm Wednesday, March 15, 2017
Secondary topics:  Data Platform, ecommerce, Hardcore Data Science, Media
Jure Leskovec (Pinterest)
Average rating: ****.
(4.82, 11 ratings)
Pinterest built a flexible, graph-based system for making recommendations to users in real time. The system uses random walks on a user-and-object graph in order to make personalized recommendations to 100+ million Pinterest users out of a catalog of over a billion items. Jure Leskovec explains how Pinterest built its modern recommendation engine and the lessons learned along the way. Read more.