A combination of match-based and graph-based scoring techniques are used to derive accurate relative rankings for a number of similar vehicles or other items based on user input. The resulting ranking system can advantageously provide meaningful feedback to consumers, even in the presence of large variations in the number and mix of side-by-side comparisons. This scoring engine can be further improved through techniques such as limiting feedback to binary choices in a side-by-side comparison between two specific items, and preconditioning the receipt of user input on a user assertion of first-hand knowledge of the items being compared.
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