I need to sort some products base on user ratings.
Suppose we have 3 products {a,b,c} and we have user’s feed backs about this products. It’s not important which user give us feed back (this question is not about correlative filtering if you are familiar with it – user interests is not the case here)
Each of these below lines are feed backs from users when they tried to compare the 3 products:
a 150 points – b 0 points (this user just told us what he thinks of 2 products a and b and in comparison of a and b he though that if he gives a 150 point then b worth 0 point)
a 150 points – c 20 points
c 200 points – a 10 points (despite the previous one this user thinks that c is better that a)
a 200 points – b 40 points – c 100 points
a 150 points – b 50 points
a 150 points – b 20 points
(These ratings are just a sample and in the real world number of products and ratings are much bigger than this)
Now I need an algorithm to find product’s rankings based on user votes. In my point of view the best way is to describe this problem with a correlation graph and connect all products to each other.
Any kind of help or tips is appreciated.
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you cannot just add the points and calculate the mean of product’s points Cause it’s important how it got his points suppose a has got 800 points against b – then c get 10 points against a like this:
a 200 – b 0
a 200 – b 0
a 200 – b 0
a 200 – b 0
c 10 – a 0 (this means that c is better than a)
so definitely a is better than b but with a small 10 points c got a better rank from a
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Take a look at http://msdn.microsoft.com/en-gb/magazine/dd148646.aspx?pr=blog. It describe five ‘ranking’ systems. The context is about testing but I think the underlying concepts apply well enough to your problem domain.