Application Complexity Computation
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United States of America Patent
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Issued Date -
May 12, 2016
app pub date -
Nov 12, 2014
filing date -
Nov 12, 2014
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Abstract
A machine learning technique may be applied to applications hosted by an application store to extract features that can be utilized to train one or more classifiers of the applications based on their relative complexity. A processor may receive pairwise comparisons of relative complexity and feature representations for the applications to be used in training of a classifier. The processor may determine a feature set that is correlated with the pairwise comparison of relative complexity and obtain a classifier based thereupon.
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