So a set of search results for “mens shirts” will show checkboxes for brands, dropdown for average customer review, and fields for ideal price range. Or a set of search results for “electric engine schematics” will show checkboxes for file formats, a dropdown for product line, and dropdown menus for document type, author, language, or date range.
Those menus and checkboxes that users are using to refine their search are facets.
Faceting is just one of over a dozen features every search application requires to succeed in the digital workplace. Read our shopping list of what’s required to deploy a consumer-grade experience with enterprise-grade results.
Lucidworks Fusion, our development platform, for building AI-powered search applications, ships with faceting ready to deploy immediately.
As Fusion receives a query from a user and assembles a set of results it looks at common fields across the results and generates facets for them automatically. So a product catalog search for “women polo shirts” will include facets for all the colors of shirts and the sizes available and even price range of the different items. Powerful caching technology makes the addition of facet fast and instant to a search query result returned.
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The best search applications index all of a company’s data so users have one unified search experience.
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What if we could talk to computers in the same way we talk to people. Natural language search gets you there.