sQuIrRel: Large-Scale Evaluation of E-commerce Query Classification Models

Query-to-Product Type (Q2PT) is a crucial e-commerce query understanding signal, which directly influences search results relevance and customer UX experience. This imposes high standards on the industrial Q2PT classification models, which have to be regularly monitored for quality among all predicted product types and use cases at scale.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715261
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
3.25
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article

sQuIrRel: Large-Scale Evaluation of E-commerce Query Classification Models

Anna Tigunova, Ghadir Eraisha, Ezgi Akcora
1 citations
Spam and Phishing Detection
3.25
article

sQuIrRel: Large-Scale Evaluation of E-commerce Query Classification Models

Anna Tigunova, Ghadir Eraisha, Ezgi Akcora
article en
1 citations

Abstract

Query-to-Product Type (Q2PT) is a crucial e-commerce query understanding signal, which directly influences search results relevance and customer UX experience. This imposes high standards on the industrial Q2PT classification models, which have to be regularly monitored for quality among all predicted product types and use cases at scale.

Amazon (Germany) (DE), National Library of Luxembourg (LU)
Openalex Percentile: Top 9%
Spam and Phishing Detection
3.25
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