电子商务搜索中使用语音的拼写纠正

Fan Yang, Alireza Bagheri Garakani, Yifei Teng, Yanling Gao, Jia Liu, Jingyuan Deng, Yi Sun
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引用次数: 4

摘要

在电子商务搜索中,在处理用户输入的搜索查询时,拼写校正对于为客户找到所需的产品起着重要的作用。然而,语音错误的解决是一个非常重要但又容易被忽视的领域。有语音拼写错误的查询往往在发音上看起来是正确的,但在拼写上却不准确(例如,“bluetooth sound system”与“blutut sant sistam”),因为有许多嘈杂的形式和稀疏的出现。在这项工作中,我们提出了一个集成语音的通用拼写纠正系统,以解决电子商务搜索中的语音错误,而不增加延迟成本。以印度(IN)电子商务市场为例,实验表明,我们提出的语音解决方案显著提高了F1分数9%+,语音错误召回率8%+。该语音拼写校正系统已部署到生产中,目前服务于数亿客户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spelling Correction using Phonetics in E-commerce Search
In E-commerce search, spelling correction plays an important role to find desired products for customers in processing user-typed search queries. However, resolving phonetic errors is a critical but much overlooked area. The query with phonetic spelling errors tends to appear correct based on pronunciation but is nonetheless inaccurate in spelling (e.g., “bluetooth sound system” vs. “blutut sant sistam”) with numerous noisy forms and sparse occurrences. In this work, we propose a generalized spelling correction system integrating phonetics to address phonetic errors in E-commerce search without additional latency cost. Using India (IN) E-commerce market for illustration, the experiment shows that our proposed phonetic solution significantly improves the F1 score by 9%+ and recall of phonetic errors by 8%+. This phonetic spelling correction system has been deployed to production, currently serving hundreds of millions of customers.
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