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Query Brand Entity Linking in E-Commerce Search

arxiv.org/abs/2502.01555

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Updated 5 h ago · first seen 11 Sept 2026

paper_01M294GPG9RHBYRYSZN387BWXR

Published
11 Sept 2026
T1 · 5 h ago
arXiv
2502.01555
T1 · 5 h ago
Category
cs.IR
T1 · 5 h ago

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https://arxiv.org/abs/2502.01555currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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-cross Abstract: Associating user search queries with the correct brand entity is critical for e-commerce product retrieval, yet remains challenging due to the brevity of queries (three to four words on average), their lack of grammatical structure, and a catalog of hundreds of thousands of distinct brands. We formulate this as a brand entity linking task and develop two complementary solutions deployed at scale: (1) a cascaded pipeline that first detects brand mentions via sequence labeling and then disambiguates against a brand knowledge base, and (2) a single-stage approach that frames linking as extreme multiclass classification, directly mapping queries to brand identifiers. Through extensive multilingual evaluation (11 languages) and a controlled online experiment, we demonstrate that the proposed methods substantially improve brand recall while maintaining high precision, leading to measurable gains in customer engagement.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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replacecurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2502.01555currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Dong Liu, Sreyashi NagcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.IR, cs.AI, cs.LGcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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10.1145/3799682.3840092 10.1145/3799682.3840092currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2502.01555currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.IRcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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