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Yet more evaluation measures…

  • Mean average precision (MAP)

    • Average of the precision value obtained for the top k documents, each time a relevant doc is retrieved

    • Avoids interpolation, use of fixed recall levels

    • MAP for query collection is arithmetic ave.

      • Macro-averaging: each query counts equally

  • R-precision

    • If we have a known (though perhaps incomplete) set of relevant documents of size Rel, then calculate precision of the top Rel docs returned

    • Perfect system could score 1.0.


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