1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchLaxmi Ashrithttps://www.microsoft.com/en-us/research/people/v-lashrit/Multimodal extreme classification - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="SN8TnDMoQ8"><a href="https://www.microsoft.com/en-us/research/publication/multimodal-extreme-classification/">Multimodal extreme classification</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/multimodal-extreme-classification/embed/#?secret=SN8TnDMoQ8" width="600" height="338" title="“Multimodal extreme classification” — Microsoft Research" data-secret="SN8TnDMoQ8" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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This paper develops the MUFIN technique for extreme classification (XC) tasks with millions of labels where datapoints and labels are endowed with visual and textual descriptors. Applications of MUFIN to product-to-product recommendation and bid query prediction over several millions of products are presented. Contemporary multi-modal methods frequently rely on purely embedding-based methods. On the other […]