Papers with classical relevance matching models

1 papers
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search (2022.emnlp-industry)

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Challenge: Existing approaches to e-commerce relevance matching ignore bipartite graphs in logs . experimental results show that proposed method improves human relevance judgment .
Approach: They propose an efficient knowledge distillation framework for e-commerce relevance matching to exploit the advantages of Transformer-style and classical relevance matching models.
Outcome: The proposed method significantly improves human relevance judgment on large-scale real-world data.

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