Tag: TG_STATIC

Page Rank. The factor will be remarked.

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? .

Attendance from the bar - ((http://wiki.yandex-team.ru/andrejjkostjagin/yabarlog/hoststat data description)). The factor will be remarked.

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

Long text without links.

This is a muzzle.

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

Remapped mascot feature TrafgraphOutAll_share_d

The quality of incoming links (the classifier of the bream) is broken, cm [405]

The number of incoming links. Remembrance.

The language of the document is Russian.

The time of adding a page, more - a more old document; The root is placed from time displayed at the interval [0.1] so that 3+ years gives 1.

If the main page of the owner (most often a second -level domain, for example xxxx.ru), then the factor is 1. For bums, hosting, personal blogs, etc. (for example, Lifejornal, People.ru, etc.) - domains of the third level (such as xxxxx.narod.ru) will also have an equal factor 1.

The time for adding the main page of the owner (host?) Will be remaped like Addtime.

There is advertising on the site.

On the site there is an advertisement for Yandex.

The Classifier of Spam for Picks from Antispam recognized the site not (!) Spam. Those. 0 = spam, 1 = good.

The number of hops of Url inpans (such as less - closer to the muzzle, the lower the value (0 - the muzzle, 1 - from the muzzle cannot be reached, 0 <can get from the muzzle <1). Normal value for the root of the nosta 0.0039).

The owner's clickness regardless of the request

The quality classifier of incoming links 2 is broken, cm [407]

It is equal to one if the site has a Ukrainian geoist (i.e. 1 - Ukrainian site)

Page from the blogochosting

Page with Livejournal.com

Automatic classifier spam named after Alekseeva, the likelihood that the website spam (0 is not spam, 1- spam)

The quality of the text. It is considered a rather complex formula

Text quality (classifier Alekseeva)

The core of the audience of owners according to Yandex.Mrazusing

The core of the audience of the hosts according to Yandex.Mrazusing

Does the host have a host

Spam karma named after antispamers is the likelihood that the host is spam; based on Whois information

Document length in sentences

The length of the URL, divided by 5

The size of the host named after Raskovalov in the documents without taking into account the takes (each double is taken into account in the factor by an independent document)

Document type - HTML

Document from porn kitski

A document from a commercial clay. Not used (depreded)

Fast document

The page title contains commercial vocabulary. Not used (depreded)

page from ru.wikipedia.org

Commercial page (Classifier Savina)

The content of content is not used. 'Hoost is good (from 0 to 1), calculated on the basis of how many and what hosts the content from this one borrow.

The content of content is not used. 'Host's badness' (from 0 to 1) - is proportional to the number of secondary content on the host.' The host (from 0 to 1) is proportional to the number of secondary content on the host.

The length of the page text in the words tlen = map (number of words, 1/400), where map (x, y) = x*y / (1 + x*y)

The page is unattainable by the links from the muzzle.

URL satisfies forum_detector regularly

The URL has an ancient date. Ancient news are recognized. Factor 1 if there is a year in Url <= 2007.

The page has a about 'payment SMS'.

Antispamers pessimized the site - all dynamic linseed factors are reset. Zerolnk.flt

Stage of the page

Pornography of the page

Remapped mascot feature TrafgraphOutAll_share_m

Remapped mascot feature TrafgraphOutAllSE_share_d

Remapped mascot feature TrafgraphOutAllSE_share_m

Remapped mascot feature NoExtClicksShare

Search traffic - transitions from search engines to the site (2nd formula)

Search traffic - transitions from search engines to the site (2nd formula)

foreign cluster document

The size of the page of the page

The factor is inversely proportional to the size of the page region

Characterizes the promotion of the site with ling rings. Value is the share of external links that are included in the lingon rings and battleships.

The number of unique visitors, remarks exponentially

The share of traffic from search engines

The share of suits to the site is not by links (set with hands or from bookmarks)

average for users Active continuous time for user finding (in sec) on the host pages

The average for users Active continuous time of the user (in second) on the pages of the host. In the inside of the Yandex. Bara/elements/browser counter

The average for users is the number of active actions (clicks, clicks) with the continuous finding of the user (in second) on the pages of the host.

Implementation of the algorithm described in the article ((http://wiki.yandex-team.ru//h.yandex.net/?http%3A%2F%2FreseRosoft.microsoft.com%2fen-US%2FPEOPLIULIUUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUUP032-LIUUUU .pdf http://research.microsoft.com/en-us/people/tyliu/fp032-liu.pdf))

Varla's attendance according to I-Bara

The number of unique visitors to Urla

The average for users time is the user on the page. It is read as the difference between neighboring transitions.

This is the SEA factor = s4_r/ (k_r+10) where S4_R is the number of clicks> 180 sec, k_r - the total number of clicks. It is considered taking into account reformalization.

This is the SEA factor = s4_r/ (k_r+10) where S4_R is the number of clicks> 180 sec, k_r - the total number of clicks. It is considered taking into account reformalization. Localized version

The degree of variety of requests for which this Urla click

Commercial page by keywords. Not used (depreded)

IDF for various parts of the document, broken, are not used

IDF for various parts of the document, broken, are not used

IDF for various parts of the document, broken, are not used

IDF for various parts of the document, broken, are not used

The share of incoming corrupt links. The algorithm for recognition of commercial links is implemented. The factor will be remarked to [0.1] if the share of such links is 50%, otherwise 0. ((http://wiki.yandex-team.ru/svetlanashorina/topseolinks selection of wound sites))))))

Entropy - distribution of clicks

Entropy - distribution of shows

Entropy - Distribution of clique/shows.

Remapped mascot feature More120SecVisitsNotSearchShare

The owner's clickness regardless of the request, separately in the regions

Entropy is the distribution of clicks. Regionalized

Entropy is the distribution of shows. Regionalized

Entropy - distribution of clique/shows. Regionalized

equals 2 * NastyContent

equals 2 * NastyContent

always zero

Domna in Zone .com

Domain in the .ua zone

Domain is not in the .ru zone

The poetry of the document

The maximum poetry of the quatrain

Document language - English

The language of the document is Cyrillic

There are no numbers in Urla

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

ND/K normalized time to click

nd/i

The date of the document that is registered on the page is remarkable

Remapped mascot feature VisitsPVisitors

Additional factors about the promotion of the site with ling rings, ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181r#h58953-4))

Additional factors about the promotion of the site with ling rings, ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181r#h58953-4))

Additional factors about the promotion of the site with ling rings, ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181r#h58953-4))

An indicator of the unnaturalness of the text from the point of view of the Russian language. The number of bad pairs of words in the text, transferred to the segment [0.1] according to the Z/(Z+10) formula

The proportion of bad steam among all found in the table: Z/(X+1), where Z is the number of bad couples in the text, and X is (http://wiki.yandex-team.ru/evgenijgrechnikov/testsynonimizers of 2000-navigable )) steam

The number of Latin letters in the text (not counting the markings), driven into [0.1] formula n/(n+100)

Additional factors about the promotion of the site with ling rings, ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181r#h58953-4))

Previous factors - fixed

Previous factors - fixed

Previous factors - fixed

Previous factors - fixed

The number of words in the text (the word is what the lemmeter selected) is displayed in [0.1] according to the formula x/(x+a)

The number of words of the Russian language in the title

The average length of the word

The percentage of the number of words inside the tag <a> .. </a> from the number of all words

The percentage of the number of words outside the tags (outside the brackets <>) from the number of all words

The percentage of the number of words, which are 200 the most frequent words of the language, from the number of all words of the text

The number used in the text 500 of the most popular words of the language, divided by 500

Logarithm of average geometric probabilities of trigrams in the text. (the probability of a trigram - the number of its meetings in the text, divided by the number of all trigrams) is displayed in [0.1] according to the formula -x (x+a)

Logarithm of the average geometric conditional probabilities of trigrams. The conditional probability of a trigram is its probability, divided by the probability of a bigram from the first two words

The page has a big picture

The difference between the current date and the date of the document defined by the dates, 1 - the date of the document is equal to the current, 0 - the document of 10 years or more, if the date is not defined, equal to 0. Attention! ((1 - dateraage)*60)^2 = age of the page In days.

Hard pessimization (AKA PR = 0), binary factor, is considered in Antispam

The host factors determine the sites screwed by the links-the second and third incoming degrees ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181rh58958953

The host factors determine the sites screwed by the links-the second and third incoming degrees ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181rh58958953

The number of incoming links without Russian letters. Remembrance.

The share of different parts of speech in the text. The share of numerals (among all words that managed to recognize part of the speech)

The share of particles

The share of pronoun adjectives

The proportion of pronoun nouns

The share of verbs

The share of words that can be both masculine nouns and nouns of the feminine, but not of the middle kind, among all nouns (examples: 'hummingbirds' are an example of an indefinite kind that can be determined in two ways, 'Alexander' is homonymy).

Quality of incoming links (hauser classifier) ​​corrected

Considered LinkQuality for this page or not (did not think, if there are few links) corrected

Quality classifier of incoming links 2 corrected

The size of the largest text segment (from the factor [18] puretext)

The number of different internal links to the page

The city is defined for the site

Ukrainian Page Rank

The popularity of the video roller comes from the video

The frequency of links to the site

The number of almost-periodic links

The presence of a LiveInternet meter

The popularity of Owner is in requests

Eleven factors based on the statistical properties of the distributions of the incoming degrees of peaks that refer to the fixed top of the hostographer. ((Http://wiki.yandex-team.ru/jandekpoisk/kachestvopoiska/obshayaformula/tekushhiekmponenty/HostdDEGRE)

It is considered as (10-x) where X is the return of the document in days (continuously) regarding the validity time of the document in Samovar

URL feature computed from rapid clicks spy_log counters with decay of 1 day

URL feature computed from rapid clicks spy_log counters with decay of 1 day

URL feature computed from rapid clicks spy_log counters with decay of 0.5 days

URL feature computed from rapid clicks spy_log counters with decay of 0.5 day

They are considered as (80 - x) / 80, where X is the age of the document in the watch. Factors make sense only for the fast -button base (the last 80 hours). Not used in ranking. Used in disconnecting.

They are considered as (80 - x) / 80, where X is the age of the document in the watch. Factors make sense only for the fast -button base (the last 80 hours). Not used in ranking. Used in disconnecting.

Logarithm of the number of shingles on which this document is not unique

Logarithm of the number of shingles on which this owner of the document is recognized as the author

The average weight of non-ugly shingles of this document

Mascot feature MarketQualityRating

Medical host quality for new marks.

Medical host quality for new marks for experiments.

Finance or law host quality for new marks.

Finance or law host quality for new marks for experiments.

Finance or law host quality for new marks.

Finance or law host quality for new marks for experiments.

Factor for host in list of documentation cs hosts for experiments

It reads in the same way as the Hostrank factor, but not on all the Owner graph, but on its subrack, consisting of Owner's in this region. Belonging to the region is determined by TLD, or by the presence of pages with this Owner in the index, about which the GEO or Geoa classifier says that they are from this region. Mapped in the same way as the Hostrank factor, from 0 to 1 with 256 gradations

A document from the language section of Wikipedia corresponding to the user region

On the Porn Advertising page

URL feature computed from rapid clicks spy_log counters with decay of 3 days

The number of slashes in Url

The presence of a built -in video player on the page

Video for downloading

URL feature computed from rapid clicks spy_log counters with decay of 3 days

URL feature computed from rapid clicks spy_log counters with decay of 14 days

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

Model with the training of each trigram on '+' and '-' Urlah. It does not depend on the request.

URL feature computed from rapid clicks spy_log counters with decay of 14 days

Age of rapid clicks spy_log update, in seconds

Freshness of rapid clicks spy_log update

The share of clicks for navigation requests

The share of the Urlov that respond without errors

The size of the page of the page

Freshness of rapid clicks spy_log update, calculated at the request time

The number of incoming muzzle links

Page - '404' (share of tokens '404' in relation to the total number of tokens on the page)

URL feature computed at the request time from rapid clicks spy_log counters with decay of 1 day

ND/K normalized time to click

URL feature computed at the request time from rapid clicks spy_log counters with decay of 0.5 days

Number of letters in the AUX segment

The number of spaces in the AUX segment

The number of commas in the Content segment

Page is a store. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#SSHOP Description)). Not used (depreded)

Logarithm of the number of shingles in the document added by the owner of the site as original texts in ((http://wiki.yandex-team.ru/jandekspoisk/jekosistema/marketingPr/webmasters/plan/vtorcontect of originality plugin)). It does not participate in the formula, it is needed to disconnect the takes

The average filtered number of sources of authorship of the document. It does not participate in the formula, it is needed to disconnect the takes

Urlngramsmodel ranking factor in ERF

The degree of variety of requests for which this Urla click is read by regions

nd/i

Document links dispersion

The popularity of the language of the document. Number from 0 to 1. (http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/languaguaguagepopalarity)))))))

URL feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

URL feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Dispersion of languages ​​in XMAP

It is known about URL that it is shown too often with very low relevance (according to Bert and/or BM25)

The ratio of the number of incoming links, the text of which is the URL, is one of the incoming links

The number of 'Nebukv 'in Url

The length of the URL with an accuracy to the symbol. Disconnected in production.

Habi page

The degree of commerce page title. Not used (depreded)

BM25 page title by its text

BM25 page title by texts of links to it

The number of COO-Thrilling links between hosts

Static URL factor for search sessions for 1600 days calculated on mobile sessions. Average dwelltime, and DwellTime is cut from the session if more than 180 seconds

Static URL factor for search sessions for 1600 days calculated on mobile sessions. The probability that the URL click will be more than 120 seconds

Static URL factor for search sessions for 1600 days calculated on mobile sessions. The probability that URL is not clicks if they click at least one URL below.

Static URL factor for search sessions for 1600 days calculated on mobile sessions. Average dwelltime, and DwellTime is cut from the session if more than 3600 seconds. Localization to the level of countries.

Static URL factor for search sessions for 1600 days calculated on mobile sessions. Average dwelltime, and DwellTime is cut from the session if more than 180 seconds. Localization to the level of countries.

OffersBase feature for ecoboost.

OffersBase feature for ecoboost.

OffersBase feature for ecoboost.

OffersBase feature for ecoboost.

The share of unique trigrams in the trigrams of links

Share of unique trigrams of links in trigrams header

The greasy of the page

Similar to Yabarurlvisits

The number of sessions in which Url was the last, classified as the sessions in which Url appeared

The sum of the maximum values ​​of Sourcerank's for each incoming link, taking into account the uniqueness of the owner.

Allows you to evaluate whether the document is 'alive' is from the point of view of links to it coming.

Similar to Yabarurlvisitors

Similar to Yabarurlavgtime

The core of the page of the pages on which there is a metric counter

OffersBase feature for ecoboost.

OffersBase feature for ecoboost.

Business kernel.

Business kernel.

Business kernel.

URL feature computed at the request time from rapid clicks search counters with decay of 1 day

URL feature computed at the request time from rapid clicks search counters with decay of 30 days

Personalized Turkish Pagerank

The share of unique trigrams of a footer fragment in trigrams of links

The share of unique trigrams of links among a fragment of trigrams of a footer

URL is an offer in the latest version of the market base.

Regional attendance of Urla according to the I-Bara

The average time of the user stay on the host with an external (from another non-search site) entry from a specific URL

The average 'depth' (the number of transitions within the framework of the host) of the user stay on the host with an external (from another non-playing site) entry from a specific URL

Assessment of the probability of leaps from the document

User outflow coefficient from the search after a visit to the site

This is Index. (HTML/PHP/ASPX?/...), without CGI parameters. It is considered to be for all takes.

This is Index. (HTML/PHP/ASPX?/...), possibly with CGI parameters. It is considered to be for all takes.

Whether the host is the owner, conditionally host == Owner (Host).

The minimum length of Pathandquery for all half -shoes.

Classifier for estimates of commercial sites

The document has a direct link to the file

The document has a link to filehosting

Clicks on the urlahs shown in the issuance for requests, by which they went to look for other search engines

Urlov shows in the issuance for requests, by which they went to look for other search engines

Classifier of the commerciality of the site

In the latest version of the market base there are offers from this host.

The document contains user review/comment

Classifier that approximate the quality of commercial sites based on user behavior data

The time of creating a document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected

The time for updating the document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected

The function of the credibility of the distribution of years in the document. Temporarily disconnected

Num of Sovetnik URLS

The arithmetic mean position of dates in the document. Temporarily disconnected

The average position of Urla for all requests

The average position of the host for all requests

Number of requests for URL

Number of requests for host

Implementation of the algorithm described in the article ((http://wiki.yandex-team.ru//h.yandex.net/?http%3A%2F%2FreseRosoft.microsoft.com%2Fen-US%2FPEOPLIULIUUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUUP032-LIUUUU .pdf http://research.microsoft.com/en-us/people/tyliu/fp032-liu.pdf)) by large regions (tube)

The share of the words of the document from the segments with Score> 2.

The rank of site quality used for boosts of the Moscow commercial formula

The factor is used in Selectionrank. TG_UNUSED: should not be included in the formulas to avoid feedback

URL feature computed at the request time from rapid clicks search counters with decay of 3 days

The weight of the document on a monosyllabic dictionary of commercial vocabulary

Average query commerciality

URL feature computed from rapid clicks search frozen counters with decay of 1 day

The length of the Depth Nodes petal counted for hosts

Dispersion of the angle in the space of Nodes Time, calculated for hosts

0.9-quarter of the length of the petal in the space of Nodes Time, calculated for hosts

Content ugliness factor.

Static trigrams intercection of url and queries by which users visited the url.

The likelihood of a racing from a host after click (on the logs of the bar).

The number of chains on request / (the number of chains in which URL + the number of chains on request participated).

The number of chains in which Url was the last normalized for the total number of chains in which this URL was.

Number of transitions to URL from Wikipedia

URL feature computed from rapid clicks search frozen counters with decay of 30 days

The page indicator is like a hub (how many pages are the bar users pass from it).

DSSM Prediction of the probability of URL + Title that there is no product on the page.

Weighted mean of log(query_clicks)/log(query_shows) for given host. Weights are proportional to log(query_shows) + 0.2.

DSSM Prediction of the probability of URL + Title, which is on the page one product.

DSSM Prediction of the probability of URL + Title, that there are a lot of goods on the page.

URL feature computed from rapid clicks search frozen counters with decay of 3 days

For Urla, a geo-approval of the city level is determined according to the rules of the BUKI-1125

For Urla, a geo-approval of the country's level is determined according to the BUKI-1125 rules

PageRegionsize Factor by GEO attribute

PageRegioncoverage Factor GEO attribute

PageRegioncoverage Factor on Adresa attribute

Aries is a store

Aries is a service

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

Is legal video distributor

Average value of feature OneProductProbability

Average value of feature ManyProductsProbability

Average value of feature PayDetectorPredict

Aries is a partner

The document is Shopinshop

At least one offer from a sporled scheme has an accessibility status.

There is not a single offer in the porous scheme.

For Ural from Ytier, it is known that he has low -quality content

For Ural from Ytier, it is known that he has a content of acceptable quality

For Ural from Ytier, it is known that he has good quality content

For Urla from Ytier, it is known that he has an excellent content content

The host has an ecom purchase.

The host has a purchase by Visit Log.

At least one offer from a sporled scheme has an inaccessibility status.

Owner has an ecom purchase.

Owner has a purchase by Visit Log.

DSSM Prediction of the probability of URL + Title that the document is an overlap.

In the offer from the new Parser, the PartnerOfferContent Available field is exhibited.

In an offer from the new Parser, the PartnerOfferContent Available Field == True.

Normalized corrected clicks count by query with user's city(gc=) mentioned

User return on URL

Middle Logarithm by the user's location on the host with localization in the country; It is considered according to Yabar logs

The attitude of Dwell Time on a host in this region to Dwell Time on a host in all regions

The attitude of Dwell Time on the page in this region to Dwell Time on a page in all regions

The more users add to bookmarks a url, the more factor value it has

Predict SOS.DSSM models by URL + Title.

Med.DSSM Predictions URL + Title models.

FIN_LAW.DSSM Predictions URL + TITLE.

On danny url is a link from inFobox-ov to Wikipedia.

Predict Cruelty.dssm URL + TITLE models.

The average sung of inclination in the plane of the peak

A sign that the document was received by machine translation

Prediction of Med_with_Trash.DSSM (Medic. Document model with Tresh Valley in Lern) Models for URL + Title.

Prediction FIN_LAW_WITH_TRASH.DSSM (Fin-Jur. Document model with a tresh valve in Lern) Models for URL + Title.

DSSM, predicting the Page Quality rating for the document

A document is a short video (Tiktok, Reels, Shorts).

Document-telegram channel in web format.

Document - post in a telegram.

Factor about the presence of a symbol '?' In Url. It is zero if the Url has CGI parameters (more precisely: all duplicate have a symbol '?' In Url).

The likelihood that the Yweb/Robot/urlgeo_ml region is correct is correct, provided that the city is predicted

Equal to one if the page connects JS-API of any geo-data supplier

The share of visits for which the time spent during the day on the host is more than 90 seconds

The share of visits for which the time spent during the day on the host is more than 160 seconds

Rank of hacked sites

Rank AGS4

Maximum QSRANK on the owner

Average QSRANK on the main domain

The share of users who returned within a month

The number of users returning within a month

Rank Dorweev

Share of the capital letters in Title

The share of incoming traffic from search engines among all incoming traffic

The share of direct visits among all incoming traffic

Middle QSRank in a sliding window

Minimum QSRANK

Average HOPS

The binary factor about the mobile adaptability of the document. It is taken from ERF

Neural model of content quality for medical subjects

A broken built -in video on the page.

Neural model of content quality for financial and legal topics

Neural model of content quality for SOS topics

the ratio of the total area of ​​all Flash blocks to the screen area

Request-document DSSM, predicting the dog's dog

Document - this is a selection of Tiktok /Tag

Document - this is a selection of Tictock /Discovery

Document - this is a selection of Tiktok /Music

URL is a channel/fasting from a verified social network account

Static URL factor in search sessions in 1600 days. Ordinary CTR.

Static URL factor in search sessions in 1600 days. Average dwelltime, and DwellTime is cut from the session if more than 3600 seconds

Static URL factor in search sessions in 1600 days. Average dwelltime, and DwellTime is cut from the session if more than 180 seconds

Static URL factor in search sessions in 1600 days. The probability that the URL click will be more than 120 seconds

Static URL factor in search sessions in 1600 days. Logarithm of the number of shows.

Static URL factor in search sessions in 1600 days. The probability that URL is clicking if they do not click on at least one URL higher.

Static URL factor in search sessions in 1600 days. The probability that URL is not clicks if they click at least one URL below.

Static URL factor in search sessions in 1600 days. Ordinary CTR. Localization to the level of countries.

Static URL factor in search sessions in 1600 days. Average dwelltime, and DwellTime is cut from the session if more than 3600 seconds. Localization to the level of countries.

Static URL factor in search sessions in 1600 days. The probability that the URL click will be more than 120 seconds. Localization to the level of countries.

Static URL factor in search sessions in 1600 days. The average position of the URL for all requests. Localization to the level of countries.

Static URL factor in search sessions in 1600 days. Logarithm of the number of shows. Localization to the level of countries.

Rank of the quality of texts on the host. The higher, the greater the likelihood that the host is full of articles - a rewriting, a bad copy of the content ordered on the exchanges of content. Burning stronger as the before the aggregation.

Static URL factor in browser logs for the maximum period. The percentage of traffic from social networks in all traffic from other hosts and search.

Static URL factor in browser logs for the maximum period. The average number of direct descendants from the host on which they spent more than 90 seconds. The descendant is straight, only if there is a link from our page to the descendant and crossed it.

Static URL factor in browser logs for the maximum period. The average maximum depth of wood with the root in the current URL is when the URL is visited from other hosts.

Static URL factor in browser logs for the maximum period. The number of times when the feather was transferred to the page to the total number of pages to which they switched from a sickle. The closer to 1, the more often the page was opened the only one in the session.

Static URL factor in browser logs for the maximum period. The average length of search sessions, when they switched to the page from a sickle

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki.

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki.

Static URL factor in browser logs for the maximum period. The probability that the user will spend on the page> 120 seconds.

Static URL factor in browser logs for the maximum period. The number of leaves in URLA support. In this case, the leaves are a page from which there were no transitions.

Static URL factor in browser logs for the maximum period. The average time spent on the page and in all descendants of the page (URLS to which they switched) from the host. Cut off if the total DT is more than 10 minutes

Static URL factor in browser logs for the maximum period. The minimum Unix Time when the page appeared in the logs for the first time.

Static URL factor in browser logs for the maximum period. The difference between the middle and minimum Unix Time when the page appeared in the logs.

Static URL factor in browser logs for the maximum period. Current breadth where the page was viewed from.

Static URL factor in browser logs for the maximum period. Current longitude where the page was viewed from.

Static URL factor in browser logs for the maximum period. The likelihood of leaps from the page

Static URL factor in browser logs for the maximum period. The likelihood of image jumps from the page

Static URL factor in browser logs for the maximum period. The probability of leap torrent file from the page

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki. Localization to the level of countries.

Static URL factor in browser logs for the maximum period. The number of leaves in URLA support. In this case, the leaves are a page from which there were no transitions. Localization to the level of countries.

Static URL factor in browser logs for the maximum period. The average time spent on the page and in all descendants of the page (URLS to which they switched) from the host. Cut if the total DT is more than 10 minutes. Localization to the level of countries.

Static URL factor in browser logs for the maximum period. Rank, based on only UBLP meters, which allows you to find many SBR losses

Document DSSM model Language Classifier Rus.

Document DSSM model Language Classifier Eng.

Document DSSM model Language Classifier Other.

Does owner have metrika or not

The document has a turbo page for Mobile platform.

Document annotations count in the whole history of the Search (DSSM AnnReg models helper)

Document annotation words count in the whole history of the Search (DSSM AnnReg models helper)

Document annotation regions count in the whole history of the Search (DSSM AnnReg models helper)

Maximum value of domain yellowness (based on Toloka)

Mean value of domain yellowness (based on Toloka)

Median of domain yellowness (based on Toloka)

Minimum value of domain yellowness (based on Toloka)

Yellowness distribution dispersion of domain (based on Toloka)

DSSM prediction (URL + Title), trained for the Page_QUALYY signal and implemented in RTHUB, the first slot.

DSSM prediction (URL + Title), trained on the Page_QUALYY signal and implemented in RTHUB, the second slot.

AVG aggregation of HasPayments web factor using random log

AVG aggregation of VideoQuery web factor using random log

AVG aggregation of SyntQuality web factor using random log

PERCENTALE_90 aggregation of GeoRegionalityVNew web factor using random log

AVG aggregation of QClassDownload web factor using random log

AVG aggregation of IsMusic web factor using random log

PERCENTALE_25 aggregation of QueryThEncyclopedic web factor using random log

AVG aggregation of CommercialOwnerRank_Reg web factor using random log

PERCENTALE_25 aggregation of YabarWordDepthNodesGradientMin web factor using random log

AVG aggregation of PopularSEFRCBrowser web factor using random log

AVG aggregation of URLClicksMaxGeoRegionFRCRatio web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDirectHChildren90CntFromExtHost web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDtUrlHChildrenCut600Reg web factor using random log

AVG aggregation of IsPicture web factor using random log

AVG aggregation of ErratumLogQueryProbability web factor using random log

Average by url maximum yellowness of teaser image

Average by url average yellowness of teaser image

Ratio of yellow images in teasers on host

Average yellow images count on host

Average teasers count on host

Average teasers area on host

Average by url minimum yellowness of teaser text

Average by url average yellowness of teaser text

Background is clickable advertisement

Average ratio of adverts on screen

Ratio of adverts on screen on main page

Average count of adverts on screen

Ratio of outgoing advertisement traffic to all traffic (desktop)

Ratio of outgoing real-time bidding traffic to all traffic (desktop)

Rating of news agency from agencies.json (Yandex.News resource)

A document from the hearts with fresh

AVG aggregation of VisitsFromWiki web factor using random log

PERCENTALE_25 aggregation of NavLinear web factor using random log

PERCENTALE_90 aggregation of Found web factor using random log

AVG aggregation of SubqueryThMatch web factor using random log

AVG aggregation of SegmentWordPortionFromMainContent web factor using random log

AVG aggregation of XfDtShowAllMaxFFieldSet2Bm15FLogK0001 web factor using random log

AVG aggregation of QueryRegionSize web factor using random log

The document came from Webtier1

AVG aggregation of IsRelevLocaleUA web factor using random log

PERCENTALE_90 aggregation of QfufAllSumWFSumWFieldSet3BclmWeightedFLogW0K0001 web factor using random log

PERCENTALE_90 aggregation of DssmBoostingCtrQuerySelfSimilarity web factor using random log

AVG aggregation of QueryToDocAllSumFCountTextBocm11Norm256 web factor using random log. NOTE: QueryToDocAllSumFCountTextBocm11Norm256 has been removed.

PERCENTALE_90 aggregation of IsNavMxQuery web factor using random log

The document came from Platinum0

AVG aggregation of DBM15Wares2 web factor using random log

PERCENTALE_90 aggregation of UrlNGramsModel web factor using random log

Neural document model for finding unexpected tin

Medical host quality fresh.

PERCENTALE_25 aggregation of DssmBoostingCtrKMeans1ScoreScaledSumWeightedQE web factor using random log

PERCENTALE_90 aggregation of LongClickMobileAllWcmWeightedValue web factor using random log

PERCENTALE_25 aggregation of DssmVkPopularity web factor using random log

AVG aggregation of UBLongPeriodVisitsSNProb web factor using random log

PERCENTALE_90 aggregation of CountryQueryRegionality web factor using random log

PERCENTALE_90 aggregation of TRhitw web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodAvgSearchDuration600 web factor using random log

AVG aggregation of RequestIsFromIOS web factor using random log

PERCENTALE_90 aggregation of DssmQueryEmbeddingCtrNoMinerPca4 web factor using random log

AVG aggregation of XfDtShowAllMaxFFieldSetUTBm15FLogW0 web factor using random log

PERCENTALE_25 aggregation of UrlTrigrams web factor using random log

PERCENTALE_90 aggregation of DssmQueryEmbeddingCtrNoMinerPca1 web factor using random log

AVG aggregation of IsRelevLocaleKZ web factor using random log

PERCENTALE_90 aggregation of TextFeatures web factor using random log

1 if host include js from marketgid.com

1 if host include js from rfity.com

Site owner pays attention to site details (at least once in quarter)

Chat info. positive / events or zero

Host player info. Relation between view time and video duration

1 if host include js from google-analytics.com

1 if host include js from googleapis.com

1 if host include js from facebook.net

1 if host include js from mc.yandex.ru

Host speed estimation

Is site official

Quality link from good sites estimation

Weight sum of each non-unique nevasca shingle

Nevasca shingle quantity in last week

Greentraffic share (aka direct visits). Desktop

Greentraffic share (aka direct visits). Mobile

Greentraffic absolute (desktop)

Visits averaged by user

1 if video on page

The document has a turbo page. Depends on the platform

Medical host quality for metric.

RMSE aggregation of Long web factor using random log

RMSE aggregation of IsOrg web factor using random log

RMSE aggregation of GskUrlModel web factor using random log

RMSE aggregation of DaterStatsAverageSourceSegment web factor using random log

RMSE aggregation of VisitsFromWiki web factor using random log

RMSE aggregation of XfDtShowBagOfWordsTitleCosineMaxMatch web factor using random log

RMSE aggregation of UBLongPeriodDownloadsProb web factor using random log

RMSE aggregation of MetaAvgIsNotCgi meta factor using random log

RMSE aggregation of MetaRmsSynPercentBadWordPairs meta factor using random log

RMSE aggregation of MetaPosTrigramsProb meta factor using random log

PERCENTALE_90 aggregation of Bocm web factor using random log

PERCENTALE_90 aggregation of SegmentWordPortionFromMainContent web factor using random log

PERCENTALE_90 aggregation of IsMobileBeauty web factor using random log

PERCENTALE_90 aggregation of USLongPeriodUrlWinsProb web factor using random log

PERCENTALE_90 aggregation of DssmBoostingXfWeightKMeans5AvgTop02ScoreQE web factor using random log

PERCENTALE_90 aggregation of DssmBoostingCtrKMeans1Score web factor using random log

PERCENTALE_90 aggregation of SDIsNavMxQueryMax meta factor using random log

PERCENTALE_90 aggregation of MetaWeb764Web1076ProductInvAvg meta factor using random log

PERCENTALE_90 aggregation of MetaWeb1099Web1219ProductInvPos meta factor using random log

PERCENTALE_90 aggregation of MetaMaxDssmMiddleVsShortLongHardNoClicks meta factor using random log

MAX aggregation of NumLinksFromMP web factor using random log

MAX aggregation of NavLinear web factor using random log

MAX aggregation of DaterStatsAverageSourceSegment web factor using random log

MAX aggregation of WeightedSumIsIndexPageIsNavMxQuery web factor using random log

MAX aggregation of QueryToDocAllSumFCountTextBocm11Norm256 web factor using random log. NOTE: QueryToDocAllSumFCountTextBocm11Norm256 has been removed.

MAX aggregation of DssmBigramsQueryDerivativeMax web factor using random log

MAX aggregation of DssmQueryCountryToUrlEstimatedDistance web factor using random log

MAX aggregation of MetaWeb764Web1076ProductInvAvg meta factor using random log

LOGAVG aggregation of TextFeatures web factor using random log

LOGAVG aggregation of DocLen web factor using random log

LOGAVG aggregation of IsHTML web factor using random log

LOGAVG aggregation of HasLevensht1QueryFragment web factor using random log

LOGAVG aggregation of HeadingIdfSumFixed web factor using random log

LOGAVG aggregation of AdvPronounsPortion web factor using random log

LOGAVG aggregation of LongestText web factor using random log

LOGAVG aggregation of CountryHour web factor using random log

LOGAVG aggregation of MetrikaUrlAvgTime web factor using random log

LOGAVG aggregation of WikiLinkCount web factor using random log

LOGAVG aggregation of BrowserUrlDwellTimeRegionFrc web factor using random log

LOGAVG aggregation of WikiInfobox web factor using random log

LOGAVG aggregation of QueryDocTitleRangesMatchingScore web factor using random log

LOGAVG aggregation of IsMobileBeauty web factor using random log

LOGAVG aggregation of QueryToTextAllSumWFSumWBodyMinWindowSize web factor using random log

LOGAVG aggregation of DssmRandomLogQueryAvgDifferentInternalLinks web factor using random log

LOGAVG aggregation of MetaUrlDirectChildrenCnt meta factor using random log

LOGAVG aggregation of MetaWeb1241Web1299ProductInvPos meta factor using random log

LOGAVG aggregation of MetaEpsHashShareNationalLanguage meta factor using random log

The document has a HTTPS protocol

Documentary classifier of porn, features according to the text of the document

Documentary classifier of porn, features on Ural document

Documentary classifier of porn, features according to the pictures of the document (information is taken from the picture index)

Documentary classifier of porn, features by video of the document (information is taken from the video index)

A host classifier of porn, features about the porn of the requests, according to which the host was shown and clung.

Return factor to the host. Percentale aggregation with a coefficient of 0.25F Fichi Dwelltimesumfration

The document came from Quickmed

Return factor to the host. Percentale aggregation with a coefficient of 0.99f Fichi AveraGereturntime

Return factor to the host. Percentale aggregation with a coefficient of 0.97f feature AveraGereturntime

Return factor to the host. Greaterfraction Aggregation with a coefficient of 0.99F Fichi Averageturntime

Return factor to the host. Percentale aggregation with a coefficient of 0.99F Fichi AveraGelogreturntime

Return factor to the host. Greaterfraction Aggregation with a coefficient of 0.9F Fichi AveraGelogreturntime

Return factor to the host. Lessfraction Aggregation with a coefficient of 0.05F FIRSTCLickdwelltime Fichi

Host factor. Weigtedaverage aggregation Fichi averagevisitper3hors

Medical host quality.

The document has a turbo page for Desktop platforms. Updates on top of the base are delivered through SaAS.

Host factor. Weigtedaverage aggregation Fichi AvegedwellTimeperhour

Return factor to the host. Lessfraction Aggregation with a coefficient of 0.1F Fichi Averagewelltimeper3Hows

Host factor. Max aggregation Fichi AvegedwellTimeperweek

Owner aggregation of RandomLogWordMaxMetaNumUrlsPerHostFixed web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of MetaWeb1099Web1219ProductInvPos meta factor using random log, aggregation type is LOGAVG

Owner aggregation of DssmDwelltimeRegChainTrainedEmbedding meta factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of DssmRandomLogQueryAvgHasPayments web factor using random log, aggregation type is LOGAVG

Owner aggregation of UBLongPeriodBrowseFrc web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of MetaUrlChildrenCnt meta factor using random log, aggregation type is LOGAVG

Owner aggregation of MetaRmsDifferentInternalLinks meta factor using random log, aggregation type is PERCENTALE_25

Owner aggregation of RandomLogWordMaxHasNoTr web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of MetaResidUSLongPeriodUrlWinsProb meta factor using random log, aggregation type is RMSE

Owner aggregation of PornoQuery web factor using random log, aggregation type is LOGAVG

Owner aggregation of NationalLanguage web factor using random log, aggregation type is LOGAVG

Owner aggregation of PercentVisibleContent web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of MetaWeb1241Web1299ProductInvPos meta factor using random log, aggregation type is PERCENTALE_25

Owner aggregation of LinkAnnFloatMultiplicityAttenV1Bm15K001 web factor using random log, aggregation type is LOGAVG

Owner aggregation of UBLongPeriodLeavesCnt web factor using random log, aggregation type is RMSE

Owner aggregation of NumLinksFromMP web factor using random log, aggregation type is LOGAVG

Owner aggregation of DssmRandomLogQueryAvgDifferentInternalLinks web factor using random log, aggregation type is PERCENTALE_25

Owner aggregation of IsOrg web factor using random log, aggregation type is RMSE

Owner aggregation of QSegmentsBM25 web factor using random log, aggregation type is MAX

Owner aggregation of SegmentAuxAlphasInText web factor using random log, aggregation type is RMSE

Owner aggregation of RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction web factor using random log, aggregation type is LOGAVG

Owner aggregation of RandomLogWordSkipStopWordsMaxIsDesktopRequest web factor using random log, aggregation type is LOGAVG

Owner aggregation of VisitsFromWiki web factor using random log, aggregation type is RMSE

Owner aggregation of IsText web factor using random log, aggregation type is RMSE

Owner aggregation of DBMSubstantive web factor using random log, aggregation type is MAX

Owner aggregation of DaterStatsAverageSourceSegment web factor using random log, aggregation type is RMSE

Owner aggregation of IsMobileBeauty web factor using random log, aggregation type is LOGAVG

Owner aggregation of LongClickSPMixMatchWeightedValue web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of FemAndMasNounsPortion web factor using random log, aggregation type is LOGAVG

Owner aggregation of TrigramsProb web factor using random log, aggregation type is PERCENTALE_90

Owner aggregation of DaterStatsYearNormLikelihood web factor using random log, aggregation type is PERCENTALE_25

Owner aggregation of UrlPathAndParamsFraction web factor using random log, aggregation type is MAX

The site is located on the TAS-IX network (relevant for Uzbekistan)

Page quality aggregated by host (avg).

Is this host adapted to mobile devices

It is considered as (80-x) where X is the return of the document in the clock (continuously). Uses the data of the Robotaddtime dates

It is considered as (10-x) where X is the return of the document in days (continuously). Uses the data of the Robotaddtime dates

The difference between the current date and the date of the document, determined by the Robotaddtime, 1 - the date is equal to the current, 0 - the document of 10 days or more, or the date is not determined

Domain in the international zone

The host contains pirate videos protected by anti-pirate memorandum.

The host contains a video protected by anti-pirate memorandum.

The average freshness of the host of the host in 30 days

Share of documents with a positive freshness from the host for 30 days

Stevenson

Stevenson

Stevenson

Stevenson

Stevenson

The document came from Quick but not from QuickRt

The document came from QuickRt

The document came from Callisto

Feature LegalPlayers from VideoIndex

Feature SocialNetworksPlayers from VideoIndex

Feature StevensonPlayers from VideoIndex

Rating of news agency from agencies.json > 0 (Yandex.News resource)

The quality indicator of the site from the point of view of factors about user behavior aggregated to the owners.

Bans of Antispam from erf

Aggregated by the closest to the Host Urlam Logavg statistics of the ISMOBILEREQUEST factor

Aggregated by the closest on the Host Urlam Logavg-statistics of the NanobtaniumQuerywordtitle5ndist2maxmax factor.

Bans on gsm of Antispam from erf

Bans on fresh of Antispam from erf

The document has a turbo page for Mobile platform. Updates on top of the base are delivered through SaAS.

The document has a turbo page for Desktop platforms. Updates on top of the base are delivered through SaAS.

'Random' factor for commercial sites.

The share of the requests on which the owner’s face was shown is among all the requests, according to which the owner was shown in the last week.

The share of visits from a sickle of documents located at 0 hopes. In 30 days.

The average position of the owner at the request for the last week.

The attitude of mobile to desktops by traf from search engines.

The attitude of mobile to desktops throughout the outgoing traffic.

The average value of the ISORG query factor at request with this owner in the last week.

The average attitude of punctuation to all dividers in the documents of the owner.

The host contains a video protected by anti-pirate memorandum.

Stevenson

Device state has currently playing music content

Device state has currently playing video content

Device state has currently playing content, which is not paused

Is alarm buzzing right now

Is timer buzzing right now

User device sound muted

Is tv plugged in

Is content settings set to medium

Is content settings set to chidren

Is content settings set to without

Current screen is main

Current screen is gallery

Current screen is season gallery

Current screen is description

Current screen is payment

Current screen is music player

Current screen is video player

Previous winner scenario in session was other

Previous winner scenario in session was video scenario

Previous winner scenario in session was music scenario

Previous winner scenario in session was vins

Previous winner scenario in session was search scenario

Previous winner scenario in session was general conversation

Current screen is tv channels gallery

Current screen is radio player

Organization in the status of Unreliable

Organization in the status of ClosedPermanently

Organization in the status of ClosedTemporary

Organization not in the status unlILLIBLE, CLOSEDPERMENNENTLY, CLOSEDTEMPORARY

The presence of a caring dump. HAS_VERIFied_Wner reference tag.

Document from ru

Document from BY

Document from UA

Document from KZ

Document from uz

Document from TR

The presence of priority placement

Is the organization a stop

Rating counted for all organizations

Restrictions related to quarantine

The mode of work with a closed hall for visitors

How much we want to get this advertiser to fulfill our promises on advertising

The maximum number of numbers in the titles of the document for all local

The number of photos with the organization. Normalized with max = 100.

The number of photos

The amount of deep clicks, divided into median_ -sufferers on the main section

For the main section of the organization - the number of organizations in this section

For the main section of the organization - the number of organizations with diplies in this section

The number of clicks made by users, about which there is a crypt information

The average floor of the user, balanced on his clicks on the organization

The average love for the user movie, balanced for his clicks on the organization

The number of deep clicks for Org1 requests made by users, about which there are crypto information

The average income of the user interested in this organization in ORG1 requests

On the heading: the second love of Italian cuisine

According to the heading: average probability [user age in 18-24], balanced by the number of rubric queries

According to the heading: average probability [age in 25-34] user, balanced by the number of rubric queries

According to the heading: average love of user sports, balanced for the number of clicks on rubric queries

On the heading: average love of user sports, balanced by the number of Deep clicks for rubric queries

According to the heading: the average floor of the user who was shown an organization with such a section

On the heading: the average floor of the user, weighed to show organizations with such a section

According to the heading: average love for French food, weighed on clicks by organizations with such a section

On the heading: the middle floor weighed on Deep clicks by organizations with such a section

According to the heading: the average probability [the user has children], weighed on deep clicks by organizations with such a section

According to the heading: average love for Italian cuisine, weighed on Deep clicks by organizations with such a section

On the network: the average probability [user has children 11-16 years old], weighed to clicks on network requests

The number of clicks on organizations of this network

On the network: average love for the Mediterranean cuisine of users who showed the organizations of this network

The density of organizations sigma = 50

The density of SIGMA organizations = 100

Sigma density = 200

Sigma density = 400

Sigma density = 800

Sigma density = 1600

The density of organizations Sigma = 3200

The density of organizations from this section Sigma = 50

The density of organizations from this section Sigma = 100

The density of organizations from this section Sigma = 200

The density of organizations from this section Sigma = 400

The density of organizations from this section Sigma = 800

The main photo in the directory

Aesthetics of the main photo

Text in the main photo

Steps at the entrance to the building in the main photo

Kitchen in the main photo

Building factor in the main photo

Building factor in the main photo

Building factor in the main photo

Building factor in the main photo

Posts in social networks about discount Discount Value + Special_price

Likes on posts with discounts