How recommendations work

The “For You” algorithm

The home feed and Explore’s For You mode use a transparent weighted score. Signed-out viewers and viewers without saved likes, watch history, or follows get a fresh, popular mix with slight variation during each Explore visit. Personal signals shape recommendations as you watch, like, and follow.

Explore’s Latest mode sorts published vertical videos newest first. For You’s session variation is temporary and is not saved as a visitor profile.

1

Follows

Videos from creators you follow and featuring models you follow receive the strongest boost.

2

Your interests

Tags from videos you like count more than tags from videos you watch.

3

Freshness

New releases receive a temporary boost so the feed does not become static.

4

Quality

Views and likes help surface videos that viewers choose and enjoy, using a logarithmic scale so one viral upload cannot dominate.

5

Discovery

Previously watched videos are pushed down rather than removed, leaving room for new creators and topics.

Trending is separate: it contains only videos published within the last 14 days and ranks them by views. The recommendation score can evolve, but these signal categories remain the public contract.

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