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Participants at Googlewhack.com discovered the sporadic "cleaner girl" bug in Google's search algorithm where "results 1–1 of thousands" were returned for two relatively common words [4] such as Anxiousness Scheduler [5] or Italianate Tablesides. [6] Googlewhack went offline in November 2009 after Google stopped providing definition links.
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Google Search (also known simply as Google or Google.com) is a search engine operated by Google. It allows users to search for information on the Web by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.
A Google search using the title or keywords of an article or subject has become known as a "Google test". It may be easy to view a subject as being notable solely because a Google search produces a huge number of hits, not notable because the search produces very few hits, or a hoax because it produces none at all. While such searches are ...
Google Personalized Search – search results personalization, merged with Google Accounts and Web History. Photos Screensaver – slideshow screensaver as part of Google Pack, which displays images sourced from a hard disk, or through RSS and Atom Web feeds. Rebang (Google China) – search trend site, similar to Google Zeitgeist.
Google Programmable Search Engine allows creators to select what websites will be used to search for information which helps to eliminate any unwanted websites or information. Google AdSense results can also be triggered from certain search queries, which would generate revenue for the site owner. [4] [non-primary source needed]
Schema.org is a reference website that publishes documentation and guidelines for using structured data mark-up on web-pages (in the form of microdata, RDFa or JSON-LD).Its main objective is to standardize HTML tags to be used by webmasters for creating rich results (displayed as visual data or infographic tables on search engine results) about a certain topic of interest. [2]
Algorithms of Oppression is a text based on over six years of academic research on Google search algorithms, examining search results from 2009 to 2015. [12] The book addresses the relationship between search engines and discriminatory biases.