# Methods for ensembling ranked lists?

I was wondering if there's a good way to use ensembling when I have two or more algoritims producing ranked lists. That is, suppose I have the following datasets consisting of ordered lists (higher to the top means more relevant):

Method1_Rankings  Method2_Rankings GoldStandard_Rankings
item1             item2             item1
item3             item1             item3
item2             item10            item5
...


Is there a way to optimally combine methods 1 and 2 (e.g., give the rankings some weights or similar)? Thank you.