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  2. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...

  3. AOL Search FAQs - AOL Help

    help.aol.com/articles/aol-search-faqs

    When seeking online information, many people turn to search engines like Google, Bing, Yahoo, or AOL Search. These search engines function as digital indexes, organizing available content by topic and sub-topic, much like an index in a book. Each search engine builds its index using distinct methods, typically beginning with an automated ...

  4. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  5. Timeline of web search engines - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_web_search_engines

    Robin Li developed the RankDex site-scoring algorithm for search engines results page ranking [23] [24] [25] and received a US patent for the technology. [26] It was the first search engine that used hyperlinks to measure the quality of websites it was indexing, [27] predating the very similar algorithm patent filed by Google two years later in ...

  6. Category:Domain-specific search engines - Wikipedia

    en.wikipedia.org/wiki/Category:Domain-specific...

    Pages in category "Domain-specific search engines" The following 26 pages are in this category, out of 26 total. ... By using this site, ...

  7. Dogpile - Wikipedia

    en.wikipedia.org/wiki/Dogpile

    Dogpile began operation in November 1996. [4] The site was created and developed by Aaron Flin, who was frustrated with the varying results of existing indexes and intending on making Dogpile query multiple indexes for the best search results. [5]

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