The relationship between recall and precision

@article{Buckland1994TheRB,
  title={The relationship between recall and precision},
  author={Michael K. Buckland and Fredric C. Gey},
  journal={Journal of the Association for Information Science and Technology},
  year={1994},
  volume={45},
  pages={12-19}
}
  • M. Buckland, F. Gey
  • Published 1994
  • Psychology
  • Journal of the Association for Information Science and Technology
Empirical studies of retrieval performance have shown a tendency for Precision to decline as Recall increases. This article examines the nature of the relationship between Precision and Recall. The relationships between Recall and the number of documents retrieved, between Precision and the number of documents retrieved, and between Precision and Recall are described in the context of different assumptions about retrieval performance. It is demonstrated that a tradeoff between Recall and… 
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References

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TLDR
This article sees that the recall-precision trade-off hinges on a deceleration in the proportion of relevant documents which are retrieved, successively, over time, and concludes that the equation that best models recall as a function of time is the logarithm of a quadratic function.
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It is now ten years since some slight experimental evidence was presented which appeared to support the hypothesis that there was an inverse relationship between recall and precision. The idea of
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TLDR
The possibility is suggested that all variables affecting the performance of retrieval systems can be decomposed into M‐factors, and the implications of these ideas for laboratory tests on retrieval systems are discussed.
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TLDR
This paper extends Heine's result to the case where the criterion‐parameter can assume discrete as well as continuous values and shows that for that model, Recall and Precision are in fact inversely related.
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It is believed that the next generation of online catalogs should and will have features such as those discussed and illustrated in this article.
Retrieval techniques