Smart Social Response (SSR), a new system we’re building at Hootsuite, automatically suggests the most relevant template response to users, allowing organizations to respond to customers’ common requests efficiently, and consistently. The feature is powered by machine learning models, which ingest user defined template responses as label classes, train on past conversations, and output response suggestions for new messages. During this project, we got to do a lot of experimentation with thresholding our model, which inspired me to write this blog post. So, let’s dig in!

What is thresholding? Why do we threshold?

In machine learning, specifically classification problems, thresholding refers to setting a threshold for an…

MoHan Zhang

Co-op student on the Machine Learning Team

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