How Faceted Search Works
Facets are the checkboxes, dropdown menus, fields and other UI elements often presented with a set of search results so the user can further sharpen and refine their query.
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.
Enterprise Search: Know Before You Buy
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.
Automated Faceting with Fusion
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.
Elements of AI-Powered Search
Visit the Lucidworks AI Hub for more information about Generative AI and Search.
Augmented Intelligence
There’s nothing artificial about intelligence. Augmented intelligence is when AI extends human judgment instead of replacing it.
Machine Learning
Machine learning and search engines are a incredible combination for creating powerful experiences for customers and employees.
Clustering & Classification
How clustering and classification algorithms can improve the search experience for your employees and customers.
Query Analysis
Underperforming queries aggravate everyone. Head/tail analysis stops it.
Signal Capture & User Behavior
Users are constantly telling you what they like and what they don’t. Are you listening? Predict user intent by applying signals.
Indexing
The best search applications index all of a company’s data so users have one unified search experience.
Hyper-Personalization
Personalization is about addressing people by name. Hyper-personalization is figuring out what they really want.
Natural Language Search
What if we could talk to computers in the same way we talk to people. Natural language search gets you there.