Recommendation Engine
SYSTEM 09 ATTENTION EXTRACTION
DOMAIN THE LANGUAGE
DEFINITION:
A system that selects, prioritizes, and presents content, information, products, people, or experiences based on predicted relevance, interest, behavior, or engagement.
FUNCTION:
Directs attention by determining what information is made visible, suggested, or promoted to an individual or audience.
EXAMPLES:
- YouTube recommendations
- TikTok For You Page
- Netflix suggestions
- Spotify playlists
- Amazon product recommendations
- Social media feeds
- Search engine recommendations
RELATED SYMBOLS:
Notification
Clickbait
Headline
Alert
Trending Topic
Feed Refresh
Infinite Scroll
Engagement Hook
Outrage Trigger
Curiosity Gap
Attention Capture
Algorithmic Priority
Content Feed
Popularity
RELATED SYSTEMS:
09 Attention Extraction
01 Social Media Contamination
20 Algorithmic Governance
25 Attention Economy
30 Artificial Consensus
NOTES:
Recommendation engines influence attention by filtering large volumes of information and presenting selected options. Their outputs may be based on behavior, preferences, engagement patterns, popularity metrics, similarity models, or predictive analysis.
CONTROL TEXT OBSERVATION:
Attention is often directed not by the availability of information, but by the visibility of information. Recommendation systems function as attention gateways, influencing which ideas, narratives, products, and signals are encountered while others remain unseen.