Recommendation Loop
A feedback cycle in which user behavior influences recommendations and those recommendations then shape the user’s next behavior.
The useful mental model.
Start with the part that changes what you actually do or expect when you meet this concept in everyday digital life.
Why the design matters
Small interface choices can remove stopping points, surface social signals or make a return action easier. That changes behavior without changing the underlying content.
What you can control
Look for notification, autoplay, focus, visibility and recommendation settings before assuming the feature is fixed.
What connects to this?
Digital life is a system. Follow the neighboring identity, data, design, security or business layer instead of stopping at one definition.
Algorithmic Recommendation
A system that ranks or selects items for a person based on signals such as context, behavior, relationships, popularity or content characteristics.
Understand it →culture conceptAlgorithmic Feed
A continuously updated stream of posts or media ranked by a recommendation system rather than shown only in simple chronological order.
Understand it →interface patternInfinite Scroll
A feed design that loads more content as the user approaches the end, removing the clear stopping point created by pages.
Understand it →Check the underlying references.
G7 prioritizes primary technical documentation, public-interest institutions and strong research. Product-specific behavior can change, so current service documentation remains important.