Author: gulin

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

Link relevance. The factor will be remarked.

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).

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL URL)))).

This is a proposal store (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye?v=tkd#h45859-4 Patterns in URL'TERN))))))))))). Not used (depreded)

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

Long document (the longer the document, the greater the value of the factor).

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

The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.

This is a muzzle.

Means the coincidence of the region of the user and the site at the level of countries. Binar factor: 1-rush, 0-no. It is based on ((http://wiki.yandex-team.ru/ Yandexposisk/ Classification of Sytraitniki/ Geographic/Sospolzanievpoysk Geoklassification of sites)))))))

Coincidence of thematic spectra of request and document. Request themes-the result of work ((http://wiki.yandex-team.ru/evgenijjkroxalev/subquery Rules of the sorcerer Subquerysearch)) The subject of the document is taken from Yandex-Catalog

The complex Static Rank is assembled from static components according to a separate formula ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/#oftnd1 *))).

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)

The number for which some linseed factors are multiplied (namely, factors number 6, 7, 47, 66), if text relevant 0, and there are few links

In textual relevance, Lemma coincides.

TR divided by a cube of the number of words in a request and transformed by a standard REMAPTR.

Simple BM25 in text.

Simple BM25 for links, the weights of the braces are not taken into account.

Simple BM25 in text and links at the same time.

All the words of the request are in the text + links.

Simple BM25 in pairs of words - we take all pairs of words of the request and consider the number of their entry into the text of the document. In the quality of the weight of the pair we use the sum of the scales of words. It does not work if there is a stop-word in the request

The same as txtpair, but for links; Link weights are not taken into account.

BM25 from the number of sentences in the document in which it occurs.

BM25 according to only in the heading.

BM25 according to only with High Rel-bots ('significant', with the allocation (<b> ITP)).

Min (number of words of request/10, 1.f)

1 / quantity_lov_v_

The document has no TR.

The document has no LR.

Linkovaya relevance by Gulina

Linkovaya relevance by Gulina

Linkovaya relevance by Gulina

Analogs of the corresponding text factors for links. BM25 from the number of links in which a coincidence occurred.

LR by links from Yandex.Market

Simple BM25 in pairs of words - we take all pairs of words of the request and consider the number of their entry into the text of the document. Weight = 1. It does not work if there is a stop-word in the request

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.

The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.

Min (number of words of request/10, 1.f)

1 / quantity_lov_v_

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL $))))).

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

This is a muzzle.

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).

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL $))))).

This is a proposal store (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-4 Patterns in Url '))))))))). Not used (depreded)

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

Long document (the longer the document, the greater the value of the factor).

This is a muzzle.

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL $))))).

This is a proposal store (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-4 Patterns in Url '))))))))). Not used (depreded)

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

Long document (the longer the document, the greater the value of the factor).

This is a muzzle.

Min (number of words of request/10, 1.f)

1 / quantity_lov_v_

The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.

Long document (the longer the document, the greater the value of the factor).

The complex Static Rank is assembled from static components according to a separate formula ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/#oftnd1 *))).

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK