System and method for large-scale multi-label learning using incomplete label assignments

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United States of America Patent

PATENT NO 10325220
APP PUB NO 20160140451A1
SERIAL NO

14543133

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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At least one label prediction model is trained, or learned, using training data that may comprise training instances that may be missing one or more labels. The at least one label prediction model may be used in identifying a content item's ground-truth label set comprising an indicator for each label in the label set indicating whether or not the label is applicable to the content item.

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Patent Owner(s)

  • OATH INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chang, Yi Sunnyvale, US 79 1032
Kong, Xiangnan Worcester, US 6 26
Li, Jia Santa Clara, US 388 5262

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