Recommendation Systems
by MK and · updated 5mo ago
Recommendation Systems
Today most algorithms that recommend or suppress content act purely on the basis of inferred popularity. They look at how much time people spend engaging with a piece of content, and boost it to more people if the numbers look good. The content itself is almost purely a black box. Some algorithms try to classify content with tags like “food” or “fu
... See morefrom Noise-Canceling Filters for the Internet are Coming by Nathan Baschez
sari added 1y ago
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sari added 2y ago
sari added 2y ago
- Circling around that whole web3 ‘ownership’ story. I have 170k email subscribers. I own the list, entirely. There is no algorithm. But 60% of my subs are on Gmail. If Gmail flags me as promotional, half my subs won’t see it. And no ownership or composability changes that
sari added 2y ago
sari added 2y ago
sari added 2y ago
The End of Social Media and the Rise of Recommendation Media
8 highlights
sari added 2y ago
- I’ve never cared much about the presence or not of a blue check by a user’s name, but I do notice when tweets from people I follow make up a smaller and smaller percentage of my feed. It’s as if neighbors of years moved out from my block overnight, replaced by strangers who all came knocking on my front door carrying not a casserole but a tweetstor... See more
from How to Blow Up a Timeline
sari added 1y ago
I wonder whether/why a For You feed is harder to tune in text-based mediums than video ones. Regardless, agree that the Twitter For You feed doesn't deliver.