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arXiv · 2101.00583

Multi-label Ranking: Mining Multi-label and Label Ranking Data

Lihi Dery
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Abstract

We survey multi-label ranking tasks, specifically multi-label classification and label ranking classification. We highlight the unique challenges, and re-categorize the methods, as they no longer fit into the traditional categories of transformation and adaptation. We survey developments in the last demi-decade, with a special focus on state-of-the-art methods in deep learning multi-label mining, extreme multi-label classification and label ranking. We conclude by offering a few future research directions.

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Lihi Dery. 2021-01-03. Multi-label Ranking: Mining Multi-label and Label Ranking Data. https://doi.org/10.1007/978-3-031-24628-9_23

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