Kasra Rahjerdi
@jc4p
every single morning when i open the app this person or their sister is at the very top of my feed. every single day. i wonder what’s going on with the algorithm that causes this
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triumph
@triumph
if an app has an algo i kinda feel they should probably have a data engineer or two it…does not feel like the case here
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Kasra Rahjerdi
@jc4p
imo the root issue is all their algorithms are supervised (they label and tag things and give them scores and adjust) vs what everyone else has been doing for 10+ years which is unsupervised (the system learns the labels and rules) — the current approach 1. doesn’t scale 2. doesn’t work with other languages
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triumph
@triumph
that current approach seems very…uh…arrogant(?) in that it’s so subjective “WE can most accurately determine scores and weighting”
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akshaan
@akshaan
I think you're conflating supervised vs. unsupervised training with manual vs. learned models. We used supervised training, because the model needs feedback from users to know what they like. We don't use manual heuristics, but instead train models that infer what users like from the feedback they're given. This does scale because they feedback is generated when users click, like or otherwise engage with content. It is not generated by us manually labeling things.
1 reply
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Jason
@jachian
Exactly. Not able to get personalization to cater feeds this way
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