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  2. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    PageRank is Google's indication of its assessment of the reputation of a webpage: It is non-keyword specific. Google uses a combination of webpage and website authority to determine the overall authority of a webpage competing for a keyword. [47] The PageRank of the HomePage of a website is the best indication Google offers for website ...

  3. Search engine optimization metrics - Wikipedia

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

    Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks.

  4. Tulip (software) - Wikipedia

    en.wikipedia.org/wiki/Tulip_(software)

    It has a binding for Python. [1] Tulip is easy to use and offers very appealing visualization. [2] Initially, Tulip targeted only graph visualization. Since then, it has evolved to be a more general-purpose data visualization software. Tulip can work with very huge data sets, e.g. 1,000,000 nodes and 5,000,000 edges. [3]

  5. 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.

  6. Google matrix - Wikipedia

    en.wikipedia.org/wiki/Google_matrix

    Fig.1. Google matrix of Wikipedia articles network, written in the bases of PageRank index; fragment of top 200 X 200 matrix elements is shown, total size N=3282257 (from [1]) A Google matrix is a particular stochastic matrix that is used by Google's PageRank algorithm. The matrix represents a graph with edges representing links between pages.

  7. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    The PageRank algorithm instead analyzes human-generated links assuming that web pages linked from many important pages are also important. The algorithm computes a recursive score for pages, based on the weighted sum of other pages linking to them. PageRank is thought to correlate well with human concepts of importance. In addition to PageRank ...

  8. TrustRank - Wikipedia

    en.wikipedia.org/wiki/TrustRank

    TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly.

  9. SimRank - Wikipedia

    en.wikipedia.org/wiki/SimRank

    SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.SimRank is applicable in any domain with object-to-object relationships, that measures similarity of the structural context in which objects occur, based on their relationships with other objects.