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  2. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    It helps Google to process search results and provide more relevant search results for users. [2] 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.

  3. 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:

  4. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.

  5. Learning to rank - Wikipedia

    en.wikipedia.org/wiki/Learning_to_rank

    A possible architecture of a machine-learned search engine. Ranking is a central part of many information retrieval problems, such as document retrieval, collaborative filtering, sentiment analysis, and online advertising. A possible architecture of a machine-learned search engine is shown in the accompanying figure.

  6. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    User queries are matched against the database information. However, as opposed to classical SQL queries of a database, in information retrieval the results returned may or may not match the query, so results are typically ranked. This ranking of results is a key difference of information retrieval searching compared to database searching. [2]

  7. 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.

  8. Search engine optimization metrics - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization...

    Domain Authority (DA), a website metric developed by Moz, is a predictive metric to determine a website's traffic and organic search engine rankings. Domain Authority is based on different link metrics, such as number of linking root domains, number of total backlinks, and the distance of backlinks from the home page of websites.

  9. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    Dragonfly (search engine) – Prototype Internet search engine to comply with Chinese censorship requirements; Google bombing – Practice that causes a webpage to have a high rank in Google; Google Panda – Change to Google's search results ranking algorithm; Google Penguin – Google search engine algorithm update

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