Personalized retrieval

Your Aesthetic Profile doesn't only influence generation — it also shapes how Virse surfaces content to you. Personalized retrieval uses your learned taste preferences to rank and filter results so that the images you see first are the ones most likely to resonate with your creative sensibility.

How it works

When you search or browse images on Virse, your six-dimensional aesthetic scores act as a relevance signal alongside traditional search criteria. Images that align more closely with your taste profile are promoted in results, while those that diverge are ranked lower — not hidden, just deprioritized.

This means two users searching for the same term can see differently ordered results based on their individual profiles.

Where personalization applies

Surface	How taste is used
Image search	Results are re-ranked using your aesthetic scores as a weighting signal
Asset browsing	Suggested and featured content reflects your taste profile
Candidate selection	The aesthetic test itself adapts — candidates are informed by your emerging profile as you make selections

Relationship to the aesthetic test

The personalization loop starts early. During the aesthetic discovery flow, each selection you make begins shaping the candidates Virse shows you next. The system uses your emerging profile to present increasingly relevant image sets, making later rounds of the test more diagnostic and more interesting.

After onboarding, this same mechanism extends to broader retrieval across the platform.

Opting out

Personalized retrieval is tied to your Aesthetic Profile. If you prefer unbiased results, you can generate and browse without enabling Memory — retrieval defaults to standard relevance ranking when Aesthetics is not active.