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  2. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [ 1 ] [ 2 ] SEO targets unpaid search traffic (usually referred to as " organic " results) rather than direct traffic, referral traffic, social media traffic, or paid traffic .

  3. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    In the original form of PageRank, the sum of PageRank over all pages was the total number of pages on the web at that time, so each page in this example would have an initial value of 1. However, later versions of PageRank, and the remainder of this section, assume a probability distribution between 0 and 1.

  4. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    The nDCG values for all queries can be averaged to obtain a measure of the average performance of a 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.

  5. Keyword research - Wikipedia

    en.wikipedia.org/wiki/Keyword_research

    For example: "Buy shoes" is a short tail keyword. Long-Tail Keywords — conversion rate is between 70-80%. They contain more specific details and have longer word counts (2-5 words). They get less search traffic but have a higher conversion rate. For example: "Buy breathable running shoes" is a long-tail keyword.

  6. Ranking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(statistics)

    In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted. For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.

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  8. Google matrix - Wikipedia

    en.wikipedia.org/wiki/Google_matrix

    An example of the matrix construction via Eq.(1) within a simple network is given in the article CheiRank. For the actual matrix, Google uses a damping factor α {\displaystyle \alpha } around 0.85. [ 2 ] [ 3 ] [ 4 ] The term ( 1 − α ) {\displaystyle (1-\alpha )} gives a surfer probability to jump randomly on any page.

  9. Wikipedia:Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Search_engine...

    As a result, Wikipedia pages tend to rank well in organic search, and to acquire high PageRank on Google, the most popular search engine as of 2018. These factors create a strong temptation for editors to add linkspam to promote their own sites, whitewash negative articles about themselves or their organizations, or astroturf articles to create ...