24 citations · 31 across the 7 of their papers we have counts for
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cs.IR2025★ 1 cited
TaoSR1: The Thinking Model for E-commerce Relevance Search
Chenhe Dong, Shaowei Yao, Pengkun Jiao +7
Query-product relevance prediction is a core task in e-commerce search. BERT-based models excel at semantic matching but lack complex reasoning capabilities. While Large Language M…
cs.IR2024★ 6 cited
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce
Zhe Lin, Jiwei Tan, Dan Ou +3
Text relevance or text matching of query and product is an essential technique for the e-commerce search system to ensure that the displayed products can match the intent of the qu…
cs.IR2024
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation
Wenhao Wu, Jialiang Zhou, Ailong He +3
Compared to business-to-consumer (B2C) e-commerce systems, consumer-to-consumer (C2C) e-commerce platforms usually encounter the limited-stock problem, that is, a product can only…