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Average Precision at n

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Encyclopedia of Database Systems

Synonyms

AP@n

Definition

Average Precision at n is a variant of Average Precision (AP) where only the top n ranked documents are considered (please see the entry on Average Precision for its definition). AP is already a top-heavy measure, but has a recall component because it is normalized according to R, the number of relevant documents for a query. In AP@n there are a number of options for normalization, for example, normalize by n or normalize by min(n,R).

Key Points

The well-known measure Average Precision has a number of lesser-known variants, used in TREC [3] and elsewhere. Before and during TREC-1, it was usual to calculate an 11-point interpolated Precision-Recall curve, and take the average of these 11 precision values, giving an “interpolated AP.” In TREC-2 and beyond, the modern non-interpolated AP was introduced. It calculates precision at each relevant document.

A number of other AP variants arise in a precision-oriented setting, where it is possible to calculate Average...

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Recommended Reading

  1. Baeza-Yates RA, Ribeiro-Neto B. Modern information retrieval. Reading: Addison-Wesley; 1999.

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  2. Hawking D, Craswell N, Bailey P, Griffiths K. Measuring search engine quality. Inf Retr. 2001;4(1):33–59.

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  3. Voorhees EM, Harman DK. TREC: experiment and evaluation in information retrieval. Cambridge, MA: MIT Press; 2005.

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Correspondence to Nick Craswell .

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Craswell, N., Robertson, S. (2018). Average Precision at n. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_487

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