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Ranking formula based on impressions and clicks?
This is not about user votes, where mostly positive ones prevail, but on the contrary, automatically calculate the rating of articles based on their impressions and clicks on them. Obviously, the most clickable articles are more interesting to users. After googling a bit, I didn't find anything suitable. Neither Bayes nor Wilsen roll here, because negative ratings (views) are still much more than positive ones (clicks). Can you suggest something else?
There are no reliable statistics yet, but I assume that somewhere around 500 views there will be only 8-15 clicks on average, just offhand. It is clear that you can divide clicks into views, but this option does not seem to be the best solution.
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