🌀 Instagram Knows More About You Than You Think

A recently published paper from Instagram's recommendation team revealed just how much data the platform uses to understand its users.

The recommendation system is trained on tens of thousands of actions collected over long periods of time. Likes, saves, shares, profile visits, searches, rewatches, watch time, and many other signals all become part of the picture.

That is why changing your recommendations is harder than most people expect.

Watching a few videos on a new topic will not suddenly retrain the algorithm. Instagram is looking at patterns built over months and sometimes years.

In practice, the platform is not trying to guess what you want right now.

It is trying to predict what your long-term behavior suggests you will want next.

The result is simple: your feed is often a reflection of your habits more than your interests.

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