hdvr

Joined 2 years ago

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240
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57
Member since
Sep 18
https://www.linkedin.com/in/gezondheidszorg/
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Comment · 1 year ago
It's an interesting problem. If most of the votes concentrate on the first submission, I wouldn't bother including subsequent submissions in the model. However if this is not the case (as in your example), you could actually include the past voting sequence, submission times, and domain, as predictors. In your example, the 800 votes might then (ideally) correspond to a better time slot and source/domain than the first single vote.
Comment · 1 year ago
It seems predicting the score directly (regression) is almost impossible without considering the associated domain. E.g. headlines with the letters GPT in it from openai.com, get an order of magnitude more votes than similar headlines from other sites.
Comment · 1 year ago

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