which of the following best describes a major mechanism that search engines use to rank pages
PageRank PageRank is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is referred to as the PageRank of E and denoted by   P R ( E ) .  {\displaystyle PR(E).}  Other factors like Author Rank can contribute to the importance of an entity.
Google Search Google's homepage includes a button labeled "I'm Feeling Lucky". Prior to a change[38] in 2012, when a user typed in a search and clicked on the button the user would be taken directly to the first search result, bypassing the search engine results page. The idea was that if a user is "feeling lucky", the search engine would return the perfect match the first time without having to page through the search results. According to a study by Tom Chavez of "Rapt", this feature cost Google $110 million a year as 1% of all searches use this feature and bypass all advertising.[39]