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Tuesday, October 16 • 12:00pm - 12:20pm
Designing Services for Recommending Jobs to College Students

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At WayUp, the leading platform for connecting college students and young professionals to internships, part-time jobs, and entry-level roles, our technology recommends job listings and other content to users immediately after they join the site and create a profile. In this talk, I discuss how constraints from this business model and site design are reflected in our technical design for job and content recommendation systems. I'll cover separation of concerns, API design, data flow, batch and real-time processes, DevOps, metrics, recommender algorithms, and the impact on user engagement.

avatar for Harlan D. Harris

Harlan D. Harris

Director of Data Science, WayUp
Harlan Harris has a PhD in Computer Science/Machine Learning from the University of Illinois, and worked as a Cognitive Psychology researcher before turning to industry. He is currently Director of Data Science at WayUp, has worked at Kaplan Test Prep, the Advisory Board Company... Read More →

Tuesday October 16, 2018 12:00pm - 12:20pm EDT
Deborah Sampson