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Since you have two lists and there is no information on which one is primary, I think that diff like this will work good: Pros: It shows both lists unmodified It shows resulting list It highlights items which are added It shows common part of the lists Cons: Three lists instead of one Colors could be tuned up to your needs (for example, you may ...


What you describe seems a diff-like application. You could use a similar view, two columns and the matching items hightlighted. As for the similarity algorithm, if ListA is {A} and ListB is {A,B} lists would be 50% similar, then it could be: coincidences / (ListA length + ListB length + conincidences) * 100


The classical way is a Venn diagram: (Source: Wikipedia) For quantification of set similarity/dissimilarity, you can look at Sørensen–Dice coefficient or Jaccard index. Their parameterization is the Tversky index.

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