BlazeRecommendationsType

BlazeRecommendationsType defines the types of recommendations that can be requested from the service.

The For you cold start parameter is coldStartLabels, available in iOS SDK 1.20.0 or later.

Associated Values and Behavior:

Values	Associated Values	Behavior
forYou	anyLabelFilter:[String] (Empty by default) This parameter is an array of strings, allowing you to filter the content received from a recommendation system. This parameter helps your app show the most relevant filtered recommendations to viewers. coldStartLabels:[String] (Empty by default) Cold start labels for For you only. See Cold start for For you.	Represents the For you case: viewer-specific recommendations from the service. Use this case to fetch recommendations tailored to the current viewer, based on their preferences and past interactions.
trending	anyLabelFilter:[String] (Empty by default) This parameter is an array of strings, allowing you to filter the content received from a recommendation system. This parameter helps your app show the most relevant filtered recommendations to viewers.	Represents recommendations for content that is currently trending. Use this case to fetch recommendations for content that is popular and trending across the Experiences platform. This allows viewers to discover what is currently popular and engaging to a broader audience.

Values

Associated Values

Behavior

forYou

anyLabelFilter:[String]
(Empty by default)
This parameter is an array of strings, allowing you to filter the content received from a recommendation system. This parameter helps your app show the most relevant filtered recommendations to viewers.

coldStartLabels:[String]
(Empty by default)
Cold start labels for For you only. See Cold start for For you.

Represents the For you case: viewer-specific recommendations from the service.
Use this case to fetch recommendations tailored to the current viewer, based on their preferences and past interactions.

trending

Represents recommendations for content that is currently trending.
Use this case to fetch recommendations for content that is popular and trending across the Experiences platform.
This allows viewers to discover what is currently popular and engaging to a broader audience.