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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References
Hasan, S., Heger, C., Mansour, S.: Spelling correction of user search queries through statistical machine translation. In: Proceedings of EMNLP 2015, pp. 451–460 (2015)
Hirsch, S., Guy, I., Nus, A., Dagan, A., Kurland, O.: Query reformulation in e-commerce search. In: Proceedings of ACM SIGIR 2020, pp. 1319–1328 (2020)
Huang, J., Efthimiadis, E.N.: Analyzing and evaluating query reformulation strategies in web search logs. In: Proceedings of ACM CIKM 2009, pp. 77–86 (2009)
Jones, G.J., Sakai, T., Kajiura, M., Sumita, K.: Experiments in Japanese text retrieval and routing using the NEAT system. In: Proceedings of ACM SIGIR 1998, pp. 197–205 (1998)
Jones, R., Rey, B., Madani, O., Greiner, W.: Generating query substitutions. In: Proceedings of WWW 2006, pp. 387–396 (2006)
Krippendorff, K.: Content Analysis: An Introduction to Its Methodology. Sage Publications, Thousand Oaks (2018)
Liu, Z., Singh, G., Parikh, N., Sundaresan, N.: A large scale query logs analysis for assessing personalization opportunities in e-commerce sites. In: WSCD Workshop at WSDM 2014 (2014)
Madvariya, A., Borar, S.: Discovering similar products in fashion e-commerce. In: Proceedings of ACM SIGIR 2017 Workshop on eCommerce (ECOM 2017) (2017)
Maji, S., Kumar, R., Bansal, M., Roy, K., Kumar, M., Goyal, P.: Addressing vocabulary gap in e-commerce search. In: Proceedings of ACM SIGIR 2019, pp. 1073–1076 (2019)
Manchanda, S., Sharma, M., Karypis, G.: Intent term selection and refinement in e-commerce queries. arXiv preprint arXiv:1908.08564 (2019)
Parikh, N., Sundaresan, N.: Inferring semantic query relations from collective user behavior. In: Proceedings of ACM CIKM 2008, pp. 349–358 (2008)
Singh, G., Parikh, N., Sundaresan, N.: Rewriting null e-commerce queries to recommend products. In: Proceedings of WWW 2012, pp. 73–82 (2012)
Singh, G., Parikh, N., Sundaresn, N.: User behavior in zero-recall ecommerce queries. In: Proceedings of ACM SIGIR 2011, pp. 75–84 (2011)
Tan, Z., Xu, C., Jiang, M., Yang, H., Wu, X.: Query rewrite for null and low search results in ecommerce. In: Proceedings of ACM SIGIR 2017 Workshop on eCommerce (ECOM 2017) (2017)
Yang, B., Parikh, N., Singh, G., Sundaresan, N.: A study of query term deletion using large-scale e-commerce search logs. In: de Rijke, M., et al. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 235–246. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06028-6_20
Zhou, Y., Porwal, U., Konow, R.: Spelling correction as a foreign language. In: Proceedings of ACM SIGIR 2019 Workshop on eCommerce (ECOM 2019) (2019)
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Amemiya, Y., Manabe, T., Fujita, S., Sakai, T. (2021). How Do Users Revise Zero-Hit Product Search Queries?. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_14
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DOI: https://doi.org/10.1007/978-3-030-72240-1_14
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