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Incremental search

In computing, incremental search, also known as hot search, incremental find or real-time suggestions, is a user interface interaction method to progressively search for and filter through text. As the user types text, one or more possible matches for the text are found and immediately presented to the user. This immediate feedback often allows the user…

History & Applications

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Research this topic

Explore the main themes, entities and connections around Incremental search. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

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Overview

History

Variants

Reception

Specific applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Incremental search

Nodes69
Edges68
Triples69
Avg. degree1.97
Density0.028986
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Incremental search

Top relations

related to history · 26
Incremental search → As, Cannon, Canon Cat, CEO, Dumbstruck, EMACS, GNU Emacs, ITS, November, Orem, Other, Replace With, Richard Stallman, Robert John Stevens, Speller, Steven, Stevens, The, These, This
related to External links · 11
Incremental search → Add-on, Eclipse, Emacs, Find As You Type, Incremental, Internet ExplorerInline Search Add-on, Internet ExplorerTip, Keyboard Feature, Mozilla, Using Incremental Find, Vim
related to Variants · 9
Incremental search → Autocomplete, Ctrl/Cmd-F, Emacs-style C-s, F3, FAYT, GNU-style, Some, This, Vim
related to Reception · 7
Incremental search → From, In, Incremental, Interface, Jef Raskin, The Humane Interface, This
related to Web search · 4
Incremental search → Google, Google Instant, Google Search, In September
related to Resource consumption · 3
Incremental search → Incremental, Web, XMLHttpRequests

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

user search incremental interface also find may box text feature searches emacs filter found word method presented applications speller type

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Quicksilver 1.0.Typically a list of matches is generated as the search query is typedinstance ofThis feature is also employed in application launchers0.80text
and the list is progressively narrowed to match the filter text.Web searchIn September 2010instance ofThis feature is also employed in application launchers0.80text
Google introduced Google Instantinstance ofThis feature is also employed in application launchers0.80text
an incremental search feature for Google Search.Resource consumptionIncremental search on a non-local serverinstance ofThis feature is also employed in application launchers0.80text
as in Web searchinstance ofThis feature is also employed in application launchers0.80text
uses more network bandwidthinstance ofThis feature is also employed in application launchers0.80text
server processing than non-incremental searchinstance ofThis feature is also employed in application launchers0.80text
due to the handling of XMLHttpRequestsinstance ofThis feature is also employed in application launchers0.80text
and the list is progressively narrowed to match the filter textinstance ofThis feature is also employed in application launchers0.80text
Incremental searchrelated to External linksKeyboard Feature0.60section
Incremental searchrelated to External linksFind As You Type0.60section
Incremental searchrelated to External linksMozilla0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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