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Search Autocomplete

⚙️ Engineering & Technology By CampusDown Wiki Editorial Team Last updated Views 1
Search autocomplete is a feature that suggests popular queries, recent searches or product names in real time as users type into a search box, so they can pick one in a single tap.
Contents
  1. 1. Why autocomplete matters
  2. 2. How many, in what order
  3. 3. Mobile and accessibility
  4. 4. FAQ
  5. 5. References

Why autocomplete matters

Mobile typing is slow and error-prone, so choosing a query after a few letters saves real effort; as Bast and Weber (2006) put it, type less, find more. Autocomplete helps users who cannot spell a term and previews what exists. It must update instantly, so latency matters. See mobile search UX.

How many, in what order

More options mean slower choices (Hick's law; Hick, 1952). Moran (2018) recommends ten or fewer, fewer on mobile. Eye tracking shows users focus on top items (Hofmann et al., 2014), so rank the likeliest first (Cai & de Rijke, 2016). Bold the appended part, not the typed part, so differences read quickly.

Mobile and accessibility

Make rows thumb-sized (Parhi et al., 2006; touch target size) and keep them above the keyboard. Typo-correcting suggestions and a 'clear recent searches' button help. On the web, follow the ARIA combobox pattern (W3C, n.d.) with aria-expanded and arrow-key navigation.

FAQ

How many suggestions?
Usually 5–8 on mobile so the keyboard does not hide them.
Should typed letters be bold?
Usually highlight the suggested remainder instead, so differences stand out.

Sources reviewed: 2026-10-27

References

  1. Moran, K. (2018, May 20). Site search suggestions. Nielsen Norman Group. Guidelines on number, highlighting and keyboard use.
  2. Bast, H., & Weber, I. (2006). Type less, find more: Fast autocompletion search with a succinct index. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 364–371). ACM. Fast autocompletion indexing.
  3. Cai, F., & de Rijke, M. (2016). A survey of query auto completion in information retrieval. Foundations and Trends in Information Retrieval, 10(4), 273–363. Survey of query auto-completion ranking.
  4. Hofmann, K., Mitra, B., Radlinski, F., & Shokouhi, M. (2014). An eye-tracking study of user interactions with query auto completion. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (pp. 549–558). ACM. Users focus on top suggestions.
  5. Hick, W. E. (1952). On the rate of gain of information. Quarterly Journal of Experimental Psychology, 4(1), 11–26. More choices, longer decisions.
  6. Parhi, P., Karlson, A. K., & Bederson, B. B. (2006). Target size study for one-handed thumb use on small touchscreen devices. In Proceedings of MobileHCI 2006 (pp. 203–210). ACM. Thumb target sizes for suggestion rows.
  7. World Wide Web Consortium. (n.d.). Combobox pattern. ARIA Authoring Practices Guide. Roles and keyboard behaviour for autocomplete.

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This article was last updated on October 27, 2026. It is based on widely recognized original works and textbooks; when citing it in a paper, please check the original sources listed in the references.