How Exactly Does Automatic Relevance Tuning Work?

Coveo ML uses machine learning techniques to analyze the search activity data captured by Coveo Usage Analytics. Automatic Relevance Tuning (ART) tracks what users search for, if and how they reformulate their queries, what results they click on, and whether or not they created a new support case. With this data, ART trains an algorithmic model for predicting which content will be most helpful to future users based upon their specific query. ART regularly retrains its model so that over time it gets better and better and adapts to new trends (see Managing Coveo Machine Learning Automatic Relevance Tuning Models in a Query Pipeline).