Facetalapú

Facetalapú is a term used in Hungarian information technology to denote an information architecture and user interface design that organizes data around multiple facets—attributes such as category, price, author, or date—that users can combine to narrow results. In practice, it encompasses the concept commonly known as faceted search or faceted navigation in English literature and is widely used to support exploratory search and structured browsing in large datasets.

Core concepts include facets as independent data dimensions, facet values as selectable options, and counts that show how many items match each value. Facets can be hierarchical or flat, and interfaces typically support multi-select filtering, dynamic facet generation based on context, and clear indication of applied filters. Effective facetalapú implementations balance a stable taxonomy with flexible, data-driven facet options.

Implementation usually requires metadata tagging of items, a well-defined facet taxonomy, and a search or indexing layer capable of computing facet counts in real time. Important design considerations include the ordering and grouping of facets, the rules for combining filters (AND/OR), handling of missing values, and performance at scale.

Common applications are online retail, digital libraries, document repositories, and enterprise search portals. The approach helps users quickly reduce result sets, discover relationships between attributes, and refine complex queries without deep domain knowledge. Challenges include facet overabundance (facet explosion), taxonomy drift, and potential confusion if facets overlap or are inconsistently defined.

The term facetalapú remains a standard way to describe this approach in Hungarian IT and UX discourse, often used interchangeably with facet-based search and navigation.