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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.
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 ...
The SERP rank of a web page refers to the placement of the corresponding link on the SERP, where higher placement means higher SERP rank. The SERP rank of a web page is a function not only of its PageRank, but of a relatively large and continuously adjusted set of factors (over 200).
Dan Gookin is a computer book author who wrote the first ...For Dummies books including DOS for Dummies and PCs for Dummies, establishing the design and voice of the long-running series that followed, incorporating humor and jokes into a format for beginners on any subject. He also is a member of the Coeur d'Alene City Council.
Also, some books in the series are smaller and do not follow the same formatting style as the others. Wiley has also launched an interactive online course with Learnstreet based on its popular book, Java for Dummies, 5th edition. [7] A spin-off board game, Crosswords for Dummies, was produced in the late 1990s. [8]
One of the well-known blogs which shares information about keyword research, trends in search marketing , paid search advertising and search engine optimization as well as analysis, advice, tips, tactics and how-to guides for search marketing. [10] It was founded in 2006 by Sullivan after he left Search Engine Watch.
Google Panda is a major change to Google's search results ranking algorithm that was first released in February 2011. The change aimed to lower the rank of "low-quality sites" or "thin sites", [ 1 ] in particular " content farms ", [ 2 ] and return higher-quality sites near the top of the search results.
The ranking SVM algorithm is a learning retrieval function that employs pairwise ranking methods to adaptively sort results based on how 'relevant' they are for a specific query. The ranking SVM function uses a mapping function to describe the match between a search query and the features of each of the possible results.