csdummi's latest activity
- 6mo ·
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Public·
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babka.social
@dansup can there be more than one link on a profile? Then the first layout might suite it better.
…See more
@dansup can there be more than one link on a profile? Then the first layout might suite it better.
See less
@dansup can there be more than one link on a profile? Then the first layout might suite it better.
@dansup can there be more than one link on a profile? Then the first layout might suite it better.
…See more
See less
- 9mo ·
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Public·
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babka.social
@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.
…See more
@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.
See less
@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?
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.