enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, after with links and content, [2] [3] out of about 200 ranking factors. [4] whose exact functions in the Google algorithm are not fully disclosed. As of 2015, "RankBrain was used for less than 15% of queries."

  3. TrustRank - Wikipedia

    en.wikipedia.org/wiki/TrustRank

    Today, this algorithm is a part of major web search engines like Yahoo! and Google. [2] One of the most important factors that help web search engine determine the quality of a web page when returning results are backlinks. Search engines take a number and quality of backlinks into consideration when assigning a place to a certain web page in ...

  4. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google:

  5. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    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.

  6. 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 ...

  7. Dogpile - Wikipedia

    en.wikipedia.org/wiki/Dogpile

    Results found that from 10,316 random user-defined queries from Google, Yahoo!, and Ask Jeeves only 3.2 percent of first page search results were the same across those search engines for a given query. Another study later that year using 12,570 random user-defined queries from Google, Yahoo!, MSN Search, and Ask Jeeves found that only 1.1 ...

  8. Comparison of search engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_search_engines

    Brave Search: Yes Yes DuckDuckGo [8] USA No Verizon Internet Services Amazon EC2: Yes Yes No Ecosia: USA No Yes No Exalead: No No Fireball: Yes No Gigablast: USA Yes [9] Yes [9] No Google Search: USA Yes Google data centers Yes No Un­known Kiddle: Yes No KidRex: Yes No KidzSearch: Yes No Lycos: Yes No Microsoft Bing: USA / China Yes Yes No Un ...

  9. Discounted cumulative gain - Wikipedia

    en.wikipedia.org/wiki/Discounted_cumulative_gain

    The nDCG values for all queries can be averaged to obtain a measure of the average performance of a search engine's ranking algorithm. Note that in a perfect ranking algorithm, the will be the same as the producing an nDCG of 1.0. All nDCG calculations are then relative values on the interval 0.0 to 1.0 and so are cross-query comparable.