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QUEEN: Neural query rewriting in e-commerce

By Yaxuan Wang, Hanqing Lu, Yunwen Xu, Rahul Goutam, Yiwei Song, Bing Yin
2021
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Query rewriting (QR), which aims to improve the shopping experience by reformulating ambiguous customer input queries into well-formed queries, is a critical component of modern e-commerce search engines. In this work, we present a practical deep learning solution, named as Query Understanding EnhancEd mechaNism (QUEEN), to the large-scale query rewriting problem in e-commerce search engines. QUEEN incorporates query annotations, the byproduct of query processing pipelines in most e-commerce search engines, to model ambiguous product search queries. The empirical study is based on 38.5 million anonymous product search queries. Compared to other SOTA baselines, QUEEN improves the sentence level recall by 6% (relatively).
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