Recommendations are a way to provide personalized experiences for website visitors by showing assets based on audience attributes such as location or areas of interest.
Recommendations are associated with a repository and a specific content type, and the recommendation rules compare values in a content type field with values from audience attributes. Attributes can be unique to a session, such as location information based on the IP address of a site visitor, unique to a system, such as the current date, or other custom attributes defined by an administrator, such as what product interests a site visitor. For example, site visitors with European IP addresses may first see event announcements for Europe on the site home page, while site visitors from North America will see events in the U.S. and Canada.
When used in a site, a recommendation selects and displays assets available in a repository that satisfy all the rules defined in the recommendation, helping you easily provide a personalized experience to the site visitor. You place recommendations on a site page by adding the Recommendation component.
Recommendations can be submitted for review and published by anyone who is a content contributor to the associated repository. However, even if you don't have contributor rights, you can still view and test recommendations to see how they work before using them in a site or headless experience.
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