The interpolated average precision of an IR system for a given query on a given test set is defined as the unweighted average of the precisions attained by the system among the top ko, k₁,... k10 test documents in answer to the query, where k; is the number of top-ranked documents that attain the highest precision while maintaining a recall of at least i * 10%. Considering the following precision/recall curve: Precision 0.8 0.6 0.4 0.2 1 0 0 0.2 0.4 0.6 0.8 1 Recall Calculate the interpolated average precision.
The interpolated average precision of an IR system for a given query on a given test set is defined as the unweighted average of the precisions attained by the system among the top ko, k₁,... k10 test documents in answer to the query, where k; is the number of top-ranked documents that attain the highest precision while maintaining a recall of at least i * 10%. Considering the following precision/recall curve: Precision 0.8 0.6 0.4 0.2 1 0 0 0.2 0.4 0.6 0.8 1 Recall Calculate the interpolated average precision.
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Transcribed Image Text:The interpolated average precision of an IR system for a given query on a given test set is defined as the
unweighted average of the precisions attained by the system among the top ko, k₁,... k10 test documents in
answer to the query, where k; is the number of top-ranked documents that attain the highest precision while
maintaining a recall of at least i * 10%.
Considering the following precision/recall curve:
Precision
0.8
0.6
0.4
0.2
1
0
0
0.2
0.4
0.6
0.8
1
Recall
Calculate the interpolated average precision.
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