How Do Users Revise Zero-Hit Product Search Queries?

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Abstract

A product search on an e-commerce site can return zero hits for several reasons. One major reason is that a user’s query may not be appropriately expressed for locating existing products. To enable successful product purchase, an ideal e-commerce site should automatically revise the user query to avoid zero hits. We investigate what kinds of query revision strategies turn a zero-hit query into a successful query, by analyzing data from a major Japanese e-commerce site. Our analysis shows that about 99% of zero-hit queries can be turned into successful queries that lead to product purchase by term dropping (27%), term replacement (29%), rephrasing (17%), and typo correction (26%). The results suggest that an automatic rewriter for avoiding zero-hit product queries may be able to achieve satisfactory coverage and accuracy by focusing on the above four revision strategies.

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APA

Amemiya, Y., Manabe, T., Fujita, S., & Sakai, T. (2021). How Do Users Revise Zero-Hit Product Search Queries? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12657 LNCS, pp. 185–192). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-72240-1_14

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