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csdummi

@dansup I've not used TikTok or YT Shorts, so I don't quite understand what is meant by an algorithm tailored to personality of the consumer.

How does an algorithm exhibit this behavior?

16 March at 13:05 | Wall-to-wall | Open on babka.social
2 comments
dansup

@csdummi The algorithm uses observed behaviors like how long you watch a video, or if you opened the comment drawer, to determine the next videos in your feed

16 March at 13:07 | Open on mastodon.social
csdummi

@dansup got it. Those are the inputs, the big question of course is how then it reaches a decision on what the next post will be.

Could these data points be used to derive a certain "interest" level in different accounts, topics, content (in the later two cases, how'd they be identified?) and then find more or less of that account/topic/content type to show next?

A "good" algorithm in this sense'd probably have to classify the content in it's database a whole lot more, to be able to suggest "similar" or "different" content.

@dansup got it. Those are the inputs, the big question of course is how then it reaches a decision on what the next post will be.

Could these data points be used to derive a certain "interest" level in different accounts, topics, content (in the later two cases, how'd they be identified?) and then find more or less of that account/topic/content type to show next?

16 March at 13:16 | Open on babka.social
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