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职业迁徙
个人简介
My primary research interest is in Extreme Classification which is a new paradigm for solving ranking and recommendation problems. In particular, I have been focussing on two aspects -
Designing loss functions that give an unbiased estimate of the true loss even when evaluated on the incomplete ground truth data and naturally promote tail labels.
Developing extreme classification algorithms that work well with low dimensional deep features and scale to problems with hundreds of millions of labels.
I have applied my algorithms to solve real-world problems such as query-recommendation on a search engine, where they have shown significant improvements over existing systems.
Designing loss functions that give an unbiased estimate of the true loss even when evaluated on the incomplete ground truth data and naturally promote tail labels.
Developing extreme classification algorithms that work well with low dimensional deep features and scale to problems with hundreds of millions of labels.
I have applied my algorithms to solve real-world problems such as query-recommendation on a search engine, where they have shown significant improvements over existing systems.
研究兴趣
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PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19)pp.528-536, (2019)
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