Best Papers vs. Top Cited Papers in Computer Science (since 1996)

    The score in the bracket after each conference represents its average MAP score. MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.

    We acknowledge Jeff Huang for providing the list of best paper awards.
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    NSDI ( Average MAP: 0.184)

    NSDI 2020MAP:
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    NSDI 0MAP: 0.3333
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