How do search engines determine relevance and popularity?
To a search engine, relevance means more than finding a page with the right words. In the early days of the web, search engines didn’t go much further than this simplistic step, and search results were of limited value. Over the years, smart engineers have devised better ways to match results to searchers’ queries. Today, hundreds of factors influence relevance, and we’ll discuss the most important of these in this guide.Search engines typically assume that the more popular a site, page, or document, the more valuable the information it contains must be. This assumption has proven fairly successful in terms of user satisfaction with search results.
Popularity and relevance aren’t determined manually. Instead, the engines employ mathematical equations (algorithms) to sort the wheat from the chaff (relevance), and then to rank the wheat in order of quality (popularity).
These algorithms often comprise hundreds of variables. In the search marketing field, we refer to them as “ranking factors.” Moz crafted a resource specifically on this subject: Search Engine Ranking Factors.
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