This is difficult for me to describe. If anyone can get the gist of what I am talking about and can point me to the correct keyword, would be really helpful. I'll explain this through an example: I have many perfumes. I get surveys from people to see which perfumes they like more. The way I do this is, for each person, I pick out two perfumes. I let the person try out the perfumes, and let me know which perfume they like more. Now I have a big database of comparisons of two perfumes. I would like to aggregate this information somehow. For example, if 80% like perfume A more than perfume B, and the 90% like perfume B than C. Is there some way you can think of I can put all of this information together through some formula to come up with a "liking value" for each product? Instead of it being relational between two items, make it a scalar value for each perfume. This way for example, I can calculate the 'value' of each perfume by itself and sort by this number to find the best and worst perfumes. Does this make sense to anyone? Does anybody know how to get this scalar value from comparative statistics? I'm sorry if this is a stupid question.. Let me know if you need a clarification of what I am trying to achieve.