Managing Coveo Machine Learning Event Recommendations Models in a Query Pipeline

Coveo™ Machine Learning (Coveo ML) is a service that leverages usage analytics data (see Coveo Machine Learning). The Recommendation feature analyzes your websites page views and search action events for all users to predict and propose the most relevant content for the current user in the current session (see Event Recommendations Feature and Coveo Machine Learning Event Recommendations Deployment Overview).

You create and manage your Event Recommendations models from the Coveo Cloud administration console for a query pipeline defined in your Coveo Organization. A model learns from a usage analytics data set recorded over a given period, and is retrained at a selectable frequency to maintain its freshness (see Coveo Machine Learning Models). The default values for available parameters are typically appropriate in most cases, but the following procedure details why or when you may want to change them.