Original sentence: A common mechanism for computing a relevance score is to calculate how many times a query term appears in a document (term frequency), combined with how discriminative that query term is across the searched collection, based on the number of documents in which the query term appears.The resulting measure is known as Term Frequency-Inverse Document Frequency
Edited sentence: But even search engines that only use TFIDF rank by relevance.For example, it has often been said that when Google burst onto the scene it was miles ahead of its competitors because it, unlike anyone else, ranked web pages by relevance.In the relatively new commercial search realm, among web search engine companies, search engine optimizers, and in the press, the incorrect relevancy is mistakenly being used more and more instead of the correct relevance.In the simplest case, relevance can be calculated by examining how many times a query term appears in a document (term frequency), possibly combined with how discriminative that query term is across the searched collection (often called Term Frequency-Inverse Document Frequency).It is just that Google had come up with a fairly new way of estimating relevance, namely PageRank.One can often tell from which community an information retrieval practitioner hails, depending on whether he or she uses the correct form of the word.Relevance calculation is often misinterpreted by the press.This is not true since everyone ranks by relevance.Wikipedia's search facility once exhibited an example of use of the incorrect relevancy