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Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. [1] Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based on their relevance to the query.
For example, a search query including all of the words in an example definition ("KWIC is an acronym for Key Word In Context, the most common format for concordance lines") and the Wikipedia slogan in English ("the free encyclopedia"), searched against a Wikipedia page, might yield a KWIC index as follows.
Example This non-free art will be the primary form of identification of the subject of the article in the infobox used in the article. String: required: Replaceability - Why not free image? Replaceability replaceability: Why there couldn't be a freely licensed replacement that would adequately serve the same purpose (cf. WP:NFCC#1).
Query expansion (QE) is the process of reformulating a given query to improve retrieval performance in information retrieval operations, particularly in the context of query understanding. [1] In the context of search engines, query expansion involves evaluating a user's input (what words were typed into the search query area, and sometimes ...
Contextual Query Language (CQL), previously known as Common Query Language, [1] is a formal language for representing queries to information retrieval systems such as search engines, bibliographic catalogs and museum collection information.
A web query or web search query is a query that a user enters into a web search engine to satisfy their information needs.Web search queries are distinctive in that they are often plain text and boolean search directives are rarely used.
A prompt for a text-to-text language model can be a query, a command, or a longer statement including context, instructions, and conversation history. Prompt engineering may involve phrasing a query, specifying a style, choice of words and grammar, [ 3 ] providing relevant context, or describing a character for the AI to mimic.
Relational databases represent all relationships between data in an implicit manner only. [3] [4] For example, the relationships between customers and products (stored in two content-tables and connected with an additional link-table) only come into existence in a query statement (SQL in the case of relational databases) written by a developer.