Author: leo

Text relevance (Maxfreq is the frequency of the most frequent word that makes sense of the length of the document).

Priority bonus, priority 7 - text priority. The binary factor, matters 0 for all monosyllabic requests, and the value of 1 for almost all two or more words, except for a very small number of answers for which there is not a single link that has passed quorum, and the text also did not pass the quorum.

Stript priority for TR is a text priority - there are all the words of the request somewhere in the document (while they pass contextual restrictions on the request, for example, both words DB in one sentence).

PHRASE priority for TR is a text priority - there are all the words of the request in a row in the document.

(strict) there is all the words of the request in one link.

(Phrase) There are all the words of the request in a row in one line.

The presence of an accurate phrase (request text) in the header (more precisely, in the first sentence of the document). Contextual restrictions and feet are taken into account exactly as in TRP2, i.e. Factor [8] Minors Factor [5]

There was a plot that passed the quorum in which all the word positions are designated as those who have the relevance of Best_relev (title or Meta Keywords).

Hitweigt is a variant of textual relevance, in which the weights of all hits are considered equal (i.e., they do not take into account the allowances for title and the proximity of words). In this case, the corresponding hits must be restricted by the syntactic sorcerer, i.e. We can assume that the TRHITW factor is 0 and only when Softandok is 0

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The factor about the number of Refines. In the queries, there is a feature of user refines ('' word that is faced with a percentage sign '). According to the idea, this means something like 'it would be good if the word in the document was'. The only famous ((http://staff.yandex-team.ru/gulin Andrey Gulin)) the valuable use of this feature is a request [ %official %site name of the film]. This feature is unknown to users, because Not described in any documentation. It is planned that it will disappear from the tongue of requests, but in the sorcerer the words with the priority of User_refine will remain. The factor indicates how much the maximum user_refine was simultaneously found in the framework of a single hit in the quorum. It is believed that there are from 0 to 3 (if> 3, then it is believed that 3). This number is waved in the half interval [0.1)

In textual relevance, Lemma coincides.

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Stript priority for TR is a text priority - there are all the words of the request somewhere in the document (while they pass contextual restrictions on the request, for example, both words DB in one sentence).

The presence of an accurate phrase (request text) in the header (more precisely, in the first sentence of the document).

Text relevance (maxfreq is the frequency of the most frequent word that makes sense of the length of the document).

Long text without links.

Long text without links.