A search suggest drop-down list is a query feature used in computing to show the searcher shortcuts, while the query is typed into a text box. Before the query is complete, a drop-down list with the suggested completions appears to provide options to select. The suggested queries then enable the searcher to complete the required search quickly. As a form of autocompletion, the suggestion list is distinct from search history in that it attempts to be predictive even when the user is searching for the first time. Data may come from popular searches, sponsors, geographic location or other sources. These lists are used by operating systems, web browsers and various websites, particularly search engines. Search suggestions are common with a 2014 survey finding that over 80% of e-commerce websites included them.
The computing science of syntax and algorithms are used to form search results from a database. Content management systems and frequent searches can assist software engineers in optimizing more refined queries with methods of parameters and subroutines. Suggestions can be results for the current query or related queries by words, time and dates, categories and tags. The suggestion list may be reordered by other options, as enumerative, hierarchical or faceted.
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