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Algorithm for highest rated items
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Most applications, to show the top rated items (regardless of the nature of the items) sort the items by rating average and then dismiss the ones where the voters are not enough (or the other way around, it doesn't really matter).
I was wondering, is there a better algorithm for that?
For example, I would consider an item with 500 voters and 4,6 rating better than one with 50 voters and a rating average of 4,8 but with the common algorithm the second would be considered better (if the voter cutoff limit is lower than 50 of course).
I was wondering, is there a better algorithm for that?
For example, I would consider an item with 500 voters and 4,6 rating better than one with 50 voters and a rating average of 4,8 but with the common algorithm the second would be considered better (if the voter cutoff limit is lower than 50 of course).
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Join Date: Aug 2005
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Originally Posted by Lucrezia 
For example, I would consider an item with 500 voters and 4,6 rating better than one with 50 voters and a rating average of 4,8 but with the common algorithm the second would be considered better (if the voter cutoff limit is lower than 50 of course).
Don't PM me with questions -- you might get a nasty PM in response. If you have a question then post it in one of the forums.
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Originally Posted by Ancient Dragon
Statistically one may be a lot better than the other. You could calculate the standard deviation and error percentage.
However, could you elaborate?
I can't see how the stardard deviation and error percentage would help in calculating a top rated items list...
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