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23 votes
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Which content-recommending algorithms are actually good?
For the end-user, that is. I'm sure Meta and the like think their algorithms are fantastic at what they want them to do. I find myself routinely asking why I get so many suggestions I have no...
For the end-user, that is. I'm sure Meta and the like think their algorithms are fantastic at what they want them to do.
I find myself routinely asking why I get so many suggestions I have no interest in when using all types of websites. I haven't used social media since the early years of Facebook, but I imagine most recommendation algorithms are tuned much like the ones on those sites, i.e. to offer more of the same, whereas I'd prefer something to introduce different stuff I'd probably like. Maybe that differentiates me from the average user, but there should be enough people like me that it'd be factored in, no? Just because I watch a cat video doesn't mean I'm all in on cats.
I mostly like Pandora's service but it feels like their music library isn't huge for my fav genres. Steam regularly tries to interest me in the most insipid games based on superficial commonalities to what's already in my library. Youtube can be good, but it can easily be echo-chambery. Shopping websites of all sorts are usually a crapshoot. What gives?
28 votes -
Vibe Check - Let AI find you the best things
30 votes -
New York passes legislation that would ban 'addictive' social media algorithms for kids
51 votes -
Does this button work? Investigating YouTube’s ineffective user controls.
12 votes -
China’s next regulatory target — algorithms, the secret of many tech giants’ success
13 votes -
A deeper look into how YouTube’s recommendation system works
14 votes -
YouTube regrets - A crowdsourced investigation into YouTube's recommendation algorithm, using data volunteered by 37,000 users via a browser extension
20 votes -
As algorithms take over, YouTube's recommendations highlight a human problem
21 votes