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Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising.

WWW '18: The Web Conference 2018 Lyon France April, 2018, pp.993-1002, (2018)

Cited: 140|Views28
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Abstract

This paper develops the Parabel algorithm for extreme multi-label learning where the objective is to learn classifiers that can annotate each data point with the most relevant subset of labels from an extremely large label set. The state-of-the-art 1-vs-All based DiSMEC and PPDSparse algorithms are the most accurate but can take upto mont...More

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