Authors : Marsan Ma, Nikhil Lopes, Raj Amrit, Hong Lu, Dipankar Biswas, Trent Kyono Leadership: Iris Wang, Madhu Kurup Recommendation and ranking systems power many of the most important experiences on large internet platforms. Yet the models that run in production are rarely the largest models we can train. They are usually compact, latency-sensitive supervised […]
All posts categorized in: Big Data
Imhotep: Scalable, Efficient, and Fast
This post is the first in a five-part series on improving the development process (and coaching developers) with metrics-driven insights. Move fast and try things — that’s how we develop products at Indeed. We don’t believe in betting on a small number of great ideas. Instead, we bet on exploring lots of ideas as quickly […]
Finding Anomalies in User Behavior with Python
In the course of helping over 200 million unique visitors every month find jobs, we end up with a lot of data. The data we collect can tell us a lot about the behavior of our users, and for the most part we observe predictable patterns in that behavior. But unexpected changes could be evidence […]