Recommendation Context
Better recommendations through better context.
What it does
Give recommendation systems better context so they can suggest content, products, opportunities, resources, or next actions that fit the person.
Example request
POST /v1/recommendation-context
POST /v1/recommendation-context
{ "user_id": "usr_123", "surface": "next_up_feed" }Example response
{
"mood": "wind_down",
"attention": "low",
"taste_anchors": ["character-driven", "slow-burn"],
"avoid": ["graphic_violence"],
"explore_vs_repeat": 0.35
}Business use
Used by Next Up, Gingham, Positioned, and partner recommendation systems to weight candidates around identity, taste, and timing rather than recent clicks alone.
No raw behavioral history is returned — only the derived context the user has approved for recommendations.
CanonIQ API is currently in beta. Feature examples use sample data and may not represent final product behavior.
More feature modules
Profile Slices
Return the right identity context without exposing the full person.
Learn more about Profile SlicesPersonalization Directives
Turn identity intelligence into product behavior.
Learn more about Personalization DirectivesConsent and App Permissions
Let users control which products see which parts of their profile.
Learn more about Consent and App Permissions