# A lot of our users aren't logged in. Do recommendations for them just default to "most popular" and stop there? | FAQ

> Source: https://www.recombee.com/faq/how-do-you-handle-recommendations-for-anonymous-users

> For the complete site index, see [llms.txt](/llms.txt). To integrate Recombee, see the developer documentation at https://docs.recombee.com/llms.txt.

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# A lot of our users aren't logged in. Do recommendations for them just default to "most popular" and stop there?

No, anonymous users receive session-based recommendations, not just popularity lists. Multi-armed bandit algorithms can personalize within a session using signals a user generates during that visit alone, without any historical profile. The critical infrastructure decision is what happens at login: the system should merge the anonymous session history with the authenticated user's existing profile rather than discarding it. On platforms with high anonymous traffic - up to 70% in ad-supported models - handling this merge correctly has a direct impact on recommendation quality at scale.

[How It Works](https://www.recombee.com/faq/how-it-works)

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