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The central element of our approach is the use of a probabilistic model to estimate the diversity value of a diverse subset for future iterations of Greedy algorithm.
In the case of diversification, the diversity value of a diverse set of results S clearly depends upon the number of results in that set (i.e. k).
Such estimation of diversity value allows us to select diverse results without scanning all the query results.
This is due to the fact that results far from predicted diversity value are also included in the diverse subset.
Recall that in each iteration of the mGreedy algorithm, the first result that provides the diversity close to the estimated diversity value as predicted by the regression model is added to the diverse subset.
Overall, SIR was more diverse by the θw measure, but not significantly so using the π diversity value.
Similar(10)
ITS diversity values could be summarized in that A. lyrata comprises the most diverse group.
Semantic diversity values were derived from previous literature22.
b, The same diversity values normalized according to physical distance.
However, even in that context, these diversity values are low.
Whiskers in the boxplots represent the range of the minimum and maximum alpha diversity values within a population, excluding outliers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com