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    Mean Reciprocal Rank (MRR)

    Data integration & searchMean Reciprocal RankMRR
    Reading time: 2 min.Editorially reviewed on:

    Definition

    MRR measures how early the first relevant search result appears.

    The mean of the reciprocal rank position of the first relevant result over multiple queries.

    Simply explained

    The higher the first matching answer appears, the better this search evaluation is.

    Why it matters in practice

    MRR shows how early a search on average delivers the first relevant hit. This allows targeted comparison of search configurations.

    Example from business

    If the first correct answer is at rank two, the reciprocal rank is 0.5.

    Limits and pitfalls

    • Using MRR even though multiple relevant results and their order are important.

    Origin & history

    MRR is an established measure in information retrieval and question answering.

    Use in mid-sized companies

    • Possible application: A search team compares configurations based on how early they deliver the first relevant hit for the same test questions.

    Frequently asked questions

    What does Mean Reciprocal Rank mean?

    The mean of the reciprocal rank position of the first relevant result over multiple queries.

    What should one pay attention to?

    Using MRR even though multiple relevant results and their order are important.

    Sources

    Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.

    Editorially reviewed on:

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