Noplace had already gone viral ahead of its public launch because of its feature that allows users to express themselves by customizing the colors of their profile.
It’s potentially worse, because before you may have had an algorithm that a human could fine tune or whistleblow on. Now if it is trained on large datasets, the resulting algorithm is usually a blackbox weight matrix, they probably have no idea what pattern it is optimizing :S
You used to have (still have, I think) very simple friends-of-friends algos that are not ML, they are just graph connectivity and distance with some union-joins thrown in the middle. They work for recommendations like steam games of what people who like this game also liked.
Instead of algorithms, noplace leverages algorithms to drive suggestions and curation
thanks i hate it here
It’s potentially worse, because before you may have had an algorithm that a human could fine tune or whistleblow on. Now if it is trained on large datasets, the resulting algorithm is usually a blackbox weight matrix, they probably have no idea what pattern it is optimizing :S
Nearly every social media has used Machine Learning to create personalised since a very long time, it was just not marketed as AI…
Yea, by “before” I guess I meant before 2013…which leaves more “after” than “before” for social media 😅 .
Most bullshit take I have ever seen. You can’t replace a recommendation algorithm with AI, since its basically the same.
You used to have (still have, I think) very simple friends-of-friends algos that are not ML, they are just graph connectivity and distance with some union-joins thrown in the middle. They work for recommendations like steam games of what people who like this game also liked.
OK, thu is an example of a non AI recommendation algorithm. However, what we see now(you watched x so you like y) is basically AI
Not basically, most (current) recommendation systems are AI/ML based. Any big platform is using AI/ML recommendation algorithms.
So disruptive!