A graphical control element that “expands” or “collapses” the content associated with it.
A set of instructions designed to perform a specific task.
Application Programming Interface (API)
A communication protocol that aims to simplify the implementation and maintenance of software between different parts of a computer program.
Presents a dropdown of auto-suggestions when you type characters into the search bar. It is also known as a predictive search.
It represents the percentage of visitors who enter the site and then leave (“bounce”) rather than continuing to view other pages within the same site.
An on-demand service that provides computer system resources, such as data storage and computing power, without direct, active and on-premises management by the user. Also known as cloud computing.
A cluster is a collection of one or more nodes (servers) that together holds all of your data and provides federated indexing and search capabilities across all nodes.
Also known as spell check, it is a feature that recognizes common typographical errors and displays the results of the corrected query.
A feature that allows a search in the parametric database to be analyzed in the keyword search database to increase the precision and accuracy of results.
A method used by marketing and sales teams to track prospects and customers at different stages of their consideration process. A sample demand funnel might have stages, such as 1) awareness; 2) engagement; 3) contacts; 4) leads; 5) opportunities, and then revenue and margin as additional metrics.
An information extraction technique that refers to the process of identifying and classifying key elements from text into predefined categories. A parametric search engine enables the user to control the experience and interaction.
A search filter is a specific product attribute a visitor can use to refine the search results of a particular category listing.
A feature that lets the user see the words inputted through highlighting in color or in boldface.
A feature of elastic search that enables you to increase your capacity and reliability as more data are incorporated by increasing the number of nodes in your cluster.
An index data structure that stores a mapping from content, such as words or numbers, to locations in a document or a set of documents. It is a hashmap-like data structure that directs you from a word to a document or a web page.
Any relevant term that helps identify the data you seek, such as a part number, generic term, or product description; an identifier of a particular part design used in a particular industry.
A type of search that uses any relevant term to help identify the data sought, such as a part number, generic term, or product description.
A process that allows the segregation of print or digital content into discrete pages.
A category of a certain item or product that can be broken down into several specifications to serve as a reference point in identifying the data you seek, such as voltage, power, frequency, or other specifications.
Also known as faceted search, this technology helps you find documents based on a set of predefined values or a range of values in a particular field.
The words that you type into a search engine to elicit information.
A feature of elastic search that enables you to use the custom node attributes as awareness attributes to take your physical hardware configuration into account when allocating shards.
A numerical value assigned to a document indicating how relevant it is to the query.
The basis for ordering the results on a results page.
Also known as Opinion Mining or Emotion AI, refers to the process of identifying subjective information using natural language processing and computational linguistics.
A set of documented requirements that provides the list of technical standards to be satisfied by a material, design, product, or service.
Specific in selection and intent
It is very clear by the selection of what is interesting to the prospect/client compared with a keyword search, which is more general.
A feature that recommends related terms or topics.
A database of aliases or alternative names for each possible query or keyword.
An acronym for “term frequency weighted by inverse document frequency,” it is a relevance model that determines how relevant a particular document is for a given query by weighting the number of times that query appears within the searchable text corpus (TF) by the number of times that query appears within the specific document (IDF).