4 citations · 4 across the 4 of their papers we have counts for
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cs.IR2021
Extreme Multi-label Learning for Semantic Matching in Product Search
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu +9
We consider the problem of semantic matching in product search: given a customer query, retrieve all semantically related products from a huge catalog of size 100 million, or more.…
cs.LG2021
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri +2
Extreme multi-label classification (XMC) aims to learn a model that can tag data points with a subset of relevant labels from an extremely large label set. Real world e-commerce ap…