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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 R.A. and Ribeiro-Neto B. Modern Information Retrieval. Addison-Wesley, Reading, MA, 1999.

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

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  3. Voorhees E.M. and Harman D.K. TREC: Experiment and Evaluation in Information Retrieval. MIT Press, Cambridge, MA, 2005.

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© 2009 Springer Science+Business Media, LLC

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Craswell, N., Robertson, S. (2009). Average Precision at n. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_487

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