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Pathologies with Relevance Score > 1.0 are listed.
The scorecomb then serves as the ultimate relevance score.
Based on these, a "personal relevance score" is computed for each tweet.
Here, the function in novel relevance score transformation hides the term-specific distribution of relevance score values, and it makes the scores of different terms indistinguishable.
A few weeks ago, Facebook launched the relevance score, meaning that good advertisers now pay less than others.
The result files are returned in order according to the total relevance score.
Finally, the matched files are returned in order according to the total relevance score.
To implement efficient result ranking, we use OPE encrypt the relevance score.
Thus the server can rank the retrieved files directly according to the encrypted relevance score.
So F d 's total relevance score will be computed for result ranking with equation 3.
The most widely used measurement for evaluating relevance score is TF × IDF rule.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com