Skip to content
Surf Wiki
Save to docs
general/internet-search-engines

From Surf Wiki (app.surf) — the open knowledge base

Vertical search

Segmented search engine with specific content areas


Segmented search engine with specific content areas

A vertical search engine is distinct from a general web search engine, in that it focuses on a specific segment of online content. They are also called specialty or topical search engines. The vertical content area may be based on topicality, media type, or genre of content. Common verticals include shopping, the automotive industry, legal information, medical information, scholarly literature, job search and travel. Examples of vertical search engines include the Library of Congress, Mocavo, Nuroa, Trulia, and Yelp.

In contrast to general web search engines, which attempt to index large portions of the World Wide Web using a web crawler, vertical search engines typically use a focused crawler which attempts to index only relevant web pages to a pre-defined topic or set of topics. Some vertical search sites focus on individual verticals, while other sites include multiple vertical searches within one search engine.

Benefits

Vertical search offers several potential benefits over general search engines:

  • Greater precision due to limited scope,
  • Leverage domain knowledge including taxonomies and ontologies,
  • Support of specific unique user tasks.

Vertical search can be viewed as similar to enterprise search where the domain of focus is the enterprise, such as a company, government or other organization. In 2013, consumer price comparison websites with integrated vertical search engines such as FindTheBest drew large rounds of venture capital funding, indicating a growth trend for these applications of vertical search technology.

References

References

  1. Rao, Leena. (5 March 2013). "Data-Driven Comparison Shopping Platform FindTheBest Raises $11M From New World, Kleiner Perkins And Others". TechCrunch.
  2. HO, VICTORIA. (11 May 2013). "Asian Price Comparison Site Save 22 Gets Angel Round Of "Mid Six Figures"".
  3. (February 9, 2014). "Memex Aims to Create a New Paradigm for Domain-Specific Search". [[DARPA]].
  4. "Memex (Domain-Specific Search)".
  5. Kim Zetter. (February 2, 2015). "Darpa Is Developing a Search Engine for the Dark Web".
  6. Forbes. (April 17, 2015). "Watch Out Google, DARPA Just Open Sourced All This Swish 'Dark Web' Search Tech".
  7. "Memex (Domain-Specific Search)". DARPA.
Info: Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about Vertical search — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report