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Possible Duplicate:
5 star ratings. Bayesian or Weighted average?

Similar question, but unlike that question this deals with two factors the stars and reputation.

Lets say Stack Exchange were to have a 5 star rating system instead of up vote and down vote.

  • 1 star = 5 reputation
  • 2 stars = -2 reputation
  • 3 stars = 0 reputation
  • 4 stars = +2 reputation
  • 5 stars = +5 reputation

So far so good, as it is very easy to calculate the total reputation (just by adding).

But what if each user had a 5 star rate, instead of reputation number? How could we calculate the stars?

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marked as duplicate by anon, t.b., Zev Chonoles Mar 17 '12 at 8:03

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

    
Why downvote? At least be usefull and explain... –  Josh Druve Mar 16 '12 at 23:16
    
It's unclear what you are asking. I have several guesses, but 1) I shouldn't have to guess and 2) they are all covered by the linked question as far as I can tell. What is wrong with assigning a score out of 5 as per the linked question? –  Alex Becker Mar 16 '12 at 23:19
    
Allright then, if somebody could delete this question, seeing by the negative vote, this is not worth it... –  Josh Druve Mar 16 '12 at 23:22
    
@JoshDruve I flagged the post. A moderator should be looking at this soon. –  user2468 Mar 16 '12 at 23:37

1 Answer 1

  1. You could take the average of all of the star rating of his posts. This would also mean that privileges will need new ways of being given, since a person with one post that has a 4-star rating shouldn't have the same privileges as a person with 200 posts with an average of 4 stars.
  2. You could simply convert ranges of reputation to stars. People with under 500 could have 1 star. People under 1000 have two. 2000->3, 4000->4, 8000->5.
  3. A combination of the above
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