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Only using global information, these subtle details could be neglected and lead to less ideal retrieval results.
The normalization by n/ F ensures that ideal retrieval receives the maximum ROC n score of 1.0.
In addition to the Swets Wilbur Conditions, the Principle of Fidelity suggests that an ideal retrieval measure should satisfy additional conditions.
On one hand, query A yields nearly ideal retrieval, and there is little difference between the ROC n score and the TAP -k.
In harmony with the Principle of Fidelity, we suggested adding Conditions (5)–(7) to the Swets Wilbur Conditions for an ideal retrieval measure.
Most importantly, unlike the pooled ROC n, the TAP -k always satisfies Conditions (5) and (6) for an ideal retrieval measure, so it can provide a suitable figure of merit when automating the evaluation of retrieval algorithms.
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While the full dataset is the ideal, the retrieval of around 90% means that the estimate generated can be viewed with confidence.
Swet proposed that an ideal measure for retrieval should be a single number (26, 38).
In contrast, the TAP- k satisfies most of the criteria desired in an ideal measure of retrieval efficacy.
Furthermore, in addition to conditions previously given in the literature, we introduce three new criteria that an ideal measure of retrieval efficacy should satisfy.
Swets (1967) stated that an ideal measure of retrieval efficacy (or more simply, a 'retrieval measure') should satisfy four conditions: It should concern itself solely with the effectiveness of separating the relevant from the non-relevant [records] and not with the efficiency of resource use.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com