What are facets used for?
Facets are a way to add specific, relevant options to your search results pages or category listings, so that when your users search for a product or browse categories, they can see where in your catalogue they’ve ended up.
What are the 7 facets of life?
It is the full integration of states of physical, mental, and spiritual wellbeing. The model used by our campus includes emotional, environmental, financial, intellectual, physical, social, and spiritual wellbeing. Each of these seven Facets of Wellbeing promotes balance in our lives.
How are facet filters used in search apps?
Faceted navigation is used for self-directed filtering on query results in a search app, where your application offers UI controls for scoping search to groups of documents (for example, categories or brands), and Azure Cognitive Search provides the data structure to back the experience.
How are facets used in a search query?
Facets are dynamic and returned on a query. Search responses bring with them the facet categories used to navigate the results. If you aren’t familiar with facets, the following example is an illustration of a facet navigation structure.
When to use parallel selection in facet search?
The Parallel Selection approach works well when search is quite slow and a probability of complex selection (many options) is high. For parallel selection, you can face the problem of dependent facets. Some combinations of the facet values would return no results, and you need to mark those in the form somehow.
How are facets calculated in a search corpus?
Facets can be calculated over single value fields as well as collections. Fields that work best in faceted navigation have low cardinality: a small number of distinct values that repeat throughout documents in your search corpus (for example, a list of colors, countries/regions, or brand names).