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Paper Title : Role of Autosuggest in e-commerce

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I3P20

Authors: Sampan S Nayak, Merin Meleet

         


Abstract
- E-commerce has seen a dramatic increase in the last few years in most countries and industries. The number of products present in a platform's catalog also keeps rising as more and more users are moving towards e-commerce. The autosuggest service plays a major role in helping users discover products quickly and with lesser effort from this large catalog. This paper discusses the role autosuggest plays in e-commerce. It also explores how some of the recent advancements in auto-suggestion algorithms can be adopted by e-commerce platforms.

Reference
1. Bar-Yossef, Ziv, and Naama Kraus. "Context-sensitive query auto-completion." In Proceedings of the 20th international conference on World wide web, pp. 107- 116. 2011. 2. Appleseed, Jamie. 2019. "13 Design Patterns For Autocomplete Suggestions (27% Get It Wrong)". Baymard Institute. https://baymard .com/blog/autocomplete-design. 3. Furtner, Katharina C., Thomas Mandl, and Christa Womser-Hacker. "Effects of Auto-Suggest on the Usability of Search in eCommerce." In ISI, pp. 178- 190. 2015. 4. Bhatia, Sumit, Debapriyo Majumdar, and Prasenjit Mitra. "Query suggestions in the absence of query logs." In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pp. 795-804. 2011. 5. Michael McCandless. 2010. "Using Finite State Transducers In Lucene". Blog.Mikemccandless.Com. http://blog.mikemccandless.com/2010/12/using-finitestate-transducers-in.html. 6. Kastrinakis, Dimitrios, and Yannis Tzitzikas. "Advancing search query autocompletion services with more and better suggestions." In International Conference on Web Engineering, pp. 35-49. Springer, Berlin, Heidelberg, 2010. 7. "I've Got A Suggestion". 2004. Official Google Blog. https://googleblog.blogspot.com/2004/12/ive-gotsuggestion.html. 8. "Incompetent Research Skills Curb Users' Problem Solving". 2011. Nielsen Norman Group. https://www.nngroup.com/articles/incompetent-searchskills/. 9. Ward, Brad. 2021. "11 Of The Best Ecommerce Stats From 2020/2021 - Salecycle". Salecycle. https://www.salecycle.com/blog/featured/11-bestecommerce-stats-2018-far/. 10. Li, Yanen, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, and ChengXiang Zhai. "A twodimensional click model for query auto-completion." In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pp. 455-464. 2014. 11. Shokouhi, Milad. "Learning to personalize query autocompletion." In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, pp. 103-112. 2013. 12. Yin, Di, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, and Jiajun Chen. "Learning to Generate Personalized Query Auto-Completions via a MultiView Multi-Task Attentive Approach." In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2998- 3007. 2020. 13. Holt, Charles C. "Forecasting seasonals and trends by exponentially weighted moving averages." International journal of forecasting 20, no. 1 (2004): 5- 10. 14. Shokouhi, Milad, and Kira Radinsky. "Time-sensitive query auto-completion." In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, pp. 601-610. 2012 15. Sullivan, Danny. 2008. "Google.Com Finally Gets Google Suggest Feature". Search Engine Land. https://searchengineland.com/google.com-finally-getsgoogle-suggest-feature-14626. 16. Cai, Fei & Rijke, Maarten. (2016). A Survey of Query Auto Completion in Information Retrieval. 10.1561/9781680832013. 17. Guo, Jiafeng & Cheng, Xueqi & Xu, Gu & Shen, Huawei. (2010). A structured approach to query recommendation with social annotation data. International Conference on Information and Knowledge Management, Proceedings. 619-628. 10.1145/1871437.1871518. 18. Guo, Jiafeng & Cheng, Xueqi & Xu, Gu & Zhu, Xiaofei. (2011). Intent-aware query similarity. 259- 268. 10.1145/2063576.2063619. 19. Hofmann, Kajta & Mitra, Bhaskar & Radlinski, Filip & Shokouhi, Milad. (2014). An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. 549-558. 10.1145/2661829.2661922. 20. Yadav, Nishant, Rajat Sen, Daniel N. Hill, Arya Mazumdar, and Inderjit S. Dhillon. "Session-Aware Query Auto-completion using Extreme Multi-label Ranking." arXiv preprint arXiv:2012.07654 (2020)
Keywords
— auto-suggest, auto-complete, e-commerce, m-commerce, digital commerce, query auto completion, search