Get Started With Coveo Machine Learning in Sitecore
Coveo Machine Learning (Coveo ML) is a powerful service that continuously analyzes search behavior patterns in Coveo Usage Analytics (Coveo UA) collected data to determine the most relevant items related to a given query. Coveo ML can also provide proactive Content Recommendations (CR) to your users, which you can place on a search page or anywhere on your website where recommendations may be useful.
Machine Learning model configurations can be copied across organizations using the Resource Snapshot feature. This can help you streamline your development and deployment process.
Enabling Coveo Machine Learning in your Coveo Organization
Using Coveo Machine Learning in Coveo for Sitecore Hive
After creating a model in your Coveo organization, Coveo for Sitecore Hive rendering configurations may be required to enable the feature in your Sitecore instance.
Automatic Relevance Tuning (ART)
ART is applied in a Coveo-powered search interface to reorder results based on their popularity. See Use Automatic Relevance Tuning in Coveo for Sitecore for more details on how to configure Coveo for Sitecore Hive to use your ART model.
Query Suggestions (QS)
Content Recommendations (CR)
Use Content Recommendations (CR) to recommend articles, products, and other related content to your users. The recommendations are provided by the ML model based on past users' behavior. See Get Content Recommendations for step-by-step instructions on how to enable content recommendations in Coveo for Sitecore Hive.
Dynamic Navigation Experience (DNE)
Based on the behavior of previous users with similar queries, DNE predicts facet value selections, and boosts search results with matching field values. To enable DNE, insert the Coveo Dynamic Facet Manager in your Coveo for Sitecore search interface. Then, embed the relevant dynamic facet renderings in the facet manager.