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Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation.

WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining Marina De..., pp.441-449, (2018)

Cited: 54|Views31
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Abstract

The objective in extreme multi-label learning is to build classifiers that can annotate a data point with the subset of relevant labels from an extremely large label set. Extreme classification has, thus far, only been studied in the context of predicting labels for novel test points. This paper formulates the extreme classification probl...More

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