The theory of relevance determination

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Relevance is calculated using an evolution of the TF-IDF formula, specifically the Okapi BM25 formula . The advantage of this formula over the classic TF-IDF is that so-called keyword stuffing —the excessive use of certain words/keywords in a document—no longer has as strong an impact on the results as it does with TF-IDF.

In addition, words that occur relatively frequently overall lithuania cell phone number list receive a lower ranking than words that occur relatively rarely in the index. Thus, for example, in a search for the keyword "shoes buy," the word "shoes" has a greater influence on relevance than the word "buy," assuming that the word "buy" occurs relatively frequently in the entire corpus.

When searching in an XOVI on-page analysis, each field receives a specific "score" that represents the result of the Okapi BM25 formula. This score is multiplied by the weighting, and then the "scores" of all fields are multiplied together.

To avoid having to show you the results of complicated mathematical formulas, we simply convert the score to a percentage. The most relevant URL according to Okapi BM25 of the analyzed domain for your entered keyword always receives a score of 100%.