Journal
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)
Volume -, Issue -, Pages 1073-1076Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3331184.3331323
Keywords
Query rewriting; product search; siamese networks
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E-commerce customers express their purchase intents in several ways, some of which may use a different vocabulary than that of the product catalog. For example, the intent for women maternity gown is often expressed with the query, ladies pregnancy dress. Search engines typically suffer from poor performance on such queries because of low overlap between query terms and specifications of the desired products. Past work has referred to these queries as vocabulary gap queries. In our experiments, we show that our technique significantly outperforms strong baselines and also show its real-world effectiveness with an online A/B experiment.
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