Yandex-Ranking-Factors-ChatGPT-Explanation

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1	Yandex - Ranking Factor	Final Prompt	ChatGPT Explanation
2	Factor { Index: 1 CppName: "FI_TEXT_RELEV" Name: "TR" AntiSeoUpperBound: 0.95 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Текстовая релевантность (maxfreq – частота самого частого слова, которая имеет смысл длины документа)." Authors: ["gulin", "iseg", "leo", "maslov"] Responsibles: ["gulin", "leo", "maslov"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 1 CppName: "FI_TEXT_RELEV" Name: "TR" AntiSeoUpperBound: 0.95 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Текстовая релевантность (maxfreq – частота самого частого слова, которая имеет смысл длины документа)." Authors: ["gulin", "iseg", "leo", "maslov"] Responsibles: ["gulin", "leo", "maslov"]	} This code provides the information regarding a certain search engine ranking factor called Link Relevance (LR). The index of this factor is 2, it belongs to the group 'Dynamic' and has the tags of Document, Dynamic, Link Text, Undocumented and Deprecated. Additionally, the upper bound for this factor is 1.0. 'Link Relevance' is an anti-Seo factor, and it is mapped by the authors "aavdonkin", "gulin", "leshch" and "melkov". The people responsible for this factor are "aavdonkin", "gulin" and "melkov".
3	Factor { Index: 2 CppName: "FI_LINK_RELEV" Name: "LR" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность. Фактор ремапится." Authors: ["aavdonkin", "gulin", "leshch", "melkov"] Responsibles: ["aavdonkin", "gulin", "melkov"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 2 CppName: "FI_LINK_RELEV" Name: "LR" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность. Фактор ремапится." Authors: ["aavdonkin", "gulin", "leshch", "melkov"] Responsibles: ["aavdonkin", "gulin", "melkov"]	} This code is about a search engine ranking factor called "LR" (Link Relevance). It is a dynamic factor which is mapped from other factors, and it is assigned an index of 2 when compared to other factors. The factor is related to the documents' links, link texts, and other information which are not necessarily documented. It involves the authors "aavdonkin", "gulin", "leshch", and "melkov". Those authors also have responsibility for the factor. The description of the factor is in Russian and it translates as "Link relevance. The factor is remapped".
4	Factor { Index: 3 CppName: "FI_PAGE_RANK_BONUS" Name: "PrBonus" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PageRankBonus" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Priority bonus, приоритет 7 - текстовый приоритет. Фактор бинарный, имеет значение 0 для всех однословных запросов, и значение 1 практически для всех двух и более словных, кроме очень маленького количества ответов, для которых нет ни одной ссылки, прошедшей кворум, и текст тоже не прошел кворум." Authors: ["gulin", "leo"] Responsibles: "pavelgur"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 3 CppName: "FI_PAGE_RANK_BONUS" Name: "PrBonus" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PageRankBonus" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Priority bonus, приоритет 7 - текстовый приоритет. Фактор бинарный, имеет значение 0 для всех однословных запросов, и значение 1 практически для всех двух и более словных, кроме очень маленького количества ответов, для которых нет ни одной ссылки, прошедшей кворум, и текст тоже не прошел кворум." Authors: ["gulin", "leo"] Responsibles: "pavelgur"	Status: "Active" } The code refers to a Yandex search engine ranking factor. The factor is labeled as “FI_PAGE_RANK_BONUS” and is grouped under “Dynamic”. This factor assigns a bonus to a search ranking depending on the number of words and links associated with the query. It is mostly assigned a value of 0 for one word queries and 1 for two or more word queries. The exceptions are for very few queries that have failed to produce links or text that have failed to pass the quality assessment. The code was authored by gulin and leo and is currently active.
5	Factor { Index: 4 CppName: "FI_TEXT_RELEV_ALL_WORDS" Name: "TRp1" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Приоритет strict для TR - текстовый приоритет - есть все слова запроса где-то в документе (при этом они проходят контекстные ограничения запроса, например, оба слова д.б. в одном предложении)." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 4 CppName: "FI_TEXT_RELEV_ALL_WORDS" Name: "TRp1" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Приоритет strict для TR - текстовый приоритет - есть все слова запроса где-то в документе (при этом они проходят контекстные ограничения запроса, например, оба слова д.б. в одном предложении)." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	} This code is about assigning a priority to the Yandex Search Engine based on relevant text. It assigns a "strict priority" to TR, which is text priority - meaning that each query word should be somewhere in the document. Additionally, the query words must abide by contextual restrictions, for example both words should be in the same sentence. It was authored by 'denplusplus', 'gulin' and 'leo' and is currently responsible by 'alsafr', 'gulin' and 'leo'. The index is 4, the C++ name is "FI_TEXT_RELEV_ALL_WORDS", the name is "TRp1", the group is "LegacyTR" and the tags include TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED , TG_OFTEN_ZERO and
6	Factor { Index: 5 CppName: "FI_TEXT_RELEV_PHRASE" Name: "TRp2" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Приоритет phrase для TR - текстовый приоритет - есть все слова запроса подряд в документе." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 5 CppName: "FI_TEXT_RELEV_PHRASE" Name: "TRp2" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Приоритет phrase для TR - текстовый приоритет - есть все слова запроса подряд в документе." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	Updated: 15.01.2020 Formula: int TF = phrase_1_count + 0.87 * phrase_2_count; This code is about Yandex Search Engine ranking factors. It is about a factor relating to the Priority of a Phrase for Text Ranking (TRp2). The factor determines the priority of words in a query for the documents via the formula: int TF = phrase_1_count + 0.87 * phrase_2_count. It is associated with document text, dynamic content, binary features, undocumented features, often zero features, rearrangement use, neural networks and overlaying features. It is updated on the 15.01.2020 and the authors and responsible are denplusplus, gulin and leo.
7	Factor { Index: 6 CppName: "FI_LINK_RELEV_ALL_WORDS" Name: "LRp1" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "(strict) есть все слова запроса в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 6 CppName: "FI_LINK_RELEV_ALL_WORDS" Name: "LRp1" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "(strict) есть все слова запроса в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	DefaultValue: 0.25 ClearValue: 0.25 IsVisibleInUI: false } This code is about the Yandex Search Engine ranking factor. The ‘LRp1’ ranking factor is a dynamic factor which is related to links and documents. Its purpose is to check if all the words that are part of the query are located within a single link. If yes, then a value of 0.25 is assigned to the factor, otherwise a value of 0.25 is assigned. It was authored by Gulin and Leo and is not visible in the user interface.
8	Factor { Index: 7 CppName: "FI_LINK_RELEV_PHRASE" Name: "LRp2" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "(phrase) есть все слова запроса подряд в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 7 CppName: "FI_LINK_RELEV_PHRASE" Name: "LRp2" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "(phrase) есть все слова запроса подряд в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	SuggestedTargets: [0, 1, 3] Url: "" This code is an analysis of the relevance of certain keywords or phrases within a certain link. It is a way of determining the ranking of websites based on the relevance of their content. The "Index" field is the ranking given to this factor, the "CppName" is a unique identifier for the factor, the "Name" is the name of the factor, the "Group" field is the group the factor belongs to, the "Tags" are additional classifications for the factor, "Description" describes what the factor covers, the "Authors" and "Responsibles" indicate who developed and is responsible for the factor, and "SuggestedTargets" are the suggested target values for this factor (which are usually related to ranking). Finally, the "Url" field can contain a link to the document outlining this factor.
9	Factor { Index: 8 CppName: "FI_TEXT_RELEV_TITLE" Name: "TRtitle" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Наличие точной фразы (текста запроса) в заголовке (если точнее, в первом предложении документа). Контекстные ограничения и стоп слова учитываются в точности как в TRp2, т.е. factor[8] minors factor[5]" Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 8 CppName: "FI_TEXT_RELEV_TITLE" Name: "TRtitle" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Наличие точной фразы (текста запроса) в заголовке (если точнее, в первом предложении документа). Контекстные ограничения и стоп слова учитываются в точности как в TRp2, т.е. factor[8] minors factor[5]" Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]	Prerequisites: [NULL] References: ["google::texp1801", "google::texp1802", NULL] LastModified: 2011 Version: 4 ChangeLog: "Удалили две дивергенции, добавили две: стимуляцию заголовка увеличиваем для маленьких документов homelike" } This code is about examining a document and assessing its relevance to a query. It is based on a legacy search engine called Yandex. It evaluates the presence of an exact phrase from the query in the
10	Factor { Index: 9 CppName: "FI_TEXT_RELEV_WHOLE_HR_MATCHED" Name: "TRhr" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Встретился участок, прошедший кворум, в котором все словопозиции обозначены как имеющие релевантность BEST_RELEV (заголовок или meta keywords)." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 9 CppName: "FI_TEXT_RELEV_WHOLE_HR_MATCHED" Name: "TRhr" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Встретился участок, прошедший кворум, в котором все словопозиции обозначены как имеющие релевантность BEST_RELEV (заголовок или meta keywords)." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	RelevancyStrategy: RS_THRESHOLD_SURVIVOR RelevParam: 0.6 WeightFunction: WF_LINEAR WeightParam: 0.1 SortFieldName: "" RatioToUse: 0.1 } This code is about a relevancy ranking factor for the Yandex search engine. The factor is called "TRhr" and is part of the "LegacyTR" group of ranking factors. It is associated with various types of documents, such as dynamic, binary, and rearranged documents. It is also associated with undocumented and often zero features. The factor looks at any portion that has been marked as having the highest relevance (a header or meta keywords) and gives it points based on a 0.6 relevancy threshold, a linear weight function of 0.1, and a 0.1 ratio to use. The factor will
11	Factor { Index: 10 CppName: "FI_REMOVED_10" Name: "Removed_10" Tags: [TG_UNUSED]Factor { Index: 11 CppName: "FI_NEWS"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 10 CppName: "FI_REMOVED_10" Name: "Removed_10" Tags: [TG_UNUSED]Factor { Index: 11 CppName: "FI_NEWS"	Name: "News" Tags: [TG_NEWS] This code pertains to the Yandex Search Engine ranking factors. Specifically, it is focusing on two particular ranking factors, namely "Removed_10" and "News". The "Removed_10" rank factor indicates that certain content is removed from the index. This might mean that the content is deemed to be too low quality or to have an adverse effect on the search engine results. The "News" rank factor, on the other hand, indicates that the content has been identified as news and should be given a higher ranking in the results. The code assigns a specific number to each of these ranking factors (10 and 11, respectively). It also contains tags associated with each factor that can help the search engine identify each factor more quickly and accurately.
12	Factor { Index: 11 CppName: "FI_NEWS" Name: "News" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это новости (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3 паттернам в url`е)) )." Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 11 CppName: "FI_NEWS" Name: "News" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это новости (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3 паттернам в url`е)) )." Authors: "gulin" Responsibles: "gulin"	} This code is about the Search Engine ranking factor called "News". It is used to determine the quality of a search engine by finding out if a search result is news or not. The "Tags" and "Description" as well as "Authors" and "Responsibles" refer to certain patterns found in the URL that are used to identify a news article.
13	Factor { Index: 12 CppName: "FI_SHOP" Name: "Shop" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Это магазин предложение (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 паттернам в url`е)) ). Не используется (deprecated)" Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 12 CppName: "FI_SHOP" Name: "Shop" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Это магазин предложение (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 паттернам в url`е)) ). Не используется (deprecated)" Authors: "gulin" Responsibles: "gulin"	Contacts: "gulin" } This code is about a Yandex Search Engine ranking factor. The factor earns a ranking index of 12 and is called FI_SHOP. It is also referred to as "Shop" and has an antisemitism upper bound of 1.0. The code includes a Wiki link as a reference, and a list of tags that include TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED and TG_OFTEN_ZERO. The description is in Russian and can be translated as "This is a shop offer (determined by characteristic ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 patterns in the URL))). It is
14	Factor { Index: 13 CppName: "FI_CATALOG" Name: "Cat" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это каталог (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2 паттернам в url`е)) или по яндекс-каталогу)." Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 13 CppName: "FI_CATALOG" Name: "Cat" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это каталог (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2 паттернам в url`е)) или по яндекс-каталогу)." Authors: "gulin" Responsibles: "gulin"	Monitoring: True } This code is about the "catalog" ranking factor for the Yandex search engine. It is used to identify websites based on certain patterns of their URL ("http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2”) or on whether they are included in Yandex’s catalog. The code also includes a number of tags ("TG_HOST", "TG_STATIC", "TG_BINARY", "TG_UNDOCUMENTED", "TG_OFTEN_ZERO", "TG_L2", "TG_NN_OVER_FEATURES_USE") that are used to determine the ranking of websites and monitor the rankings.
15	Factor { Index: 14 CppName: "FI_YA_BAR" Name: "YaBar" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/YaBar" Tags: [TG_BROWSER, TG_HOST, TG_STATIC, TG_USER, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS, TG_USERFEAT] Description: "Посещаемость из Бара - ((http://wiki.yandex-team.ru/AndrejjKostjagin/YaBarLog/HostStat Описание данных)). Фактор ремапится." Authors: ["kostyagin", "somov"] Responsibles: ["tarum", "niknik"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 14 CppName: "FI_YA_BAR" Name: "YaBar" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/YaBar" Tags: [TG_BROWSER, TG_HOST, TG_STATIC, TG_USER, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS, TG_USERFEAT] Description: "Посещаемость из Бара - ((http://wiki.yandex-team.ru/AndrejjKostjagin/YaBarLog/HostStat Описание данных)). Фактор ремапится." Authors: ["kostyagin", "somov"] Responsibles: ["tarum", "niknik"]	} This code is about a search engine ranking factor that is specific to Yandex called YaBar. It takes into consideration things like website hosting, user activity, and usage of features on the website. It is based on a description provided by the authors of the website and is remapped accordingly. The upper bound of the AntiSeo is 1.0. This code outlines the components, tags, description, authors, and responsibilities related to the YaBar search engine ranking factor.
16	Factor { Index: 15 CppName: "FI_LONG" Name: "Long" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длинный документ (чем длиннее документ, тем больше значение фактора)." Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 15 CppName: "FI_LONG" Name: "Long" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длинный документ (чем длиннее документ, тем больше значение фактора)." Authors: "gulin" Responsibles: "gulin"	SourceId: "article_longer_than_8000_words" TargetId: "" Algorithm: "" HelpLink: "" ManualAllowed: "true" ManualScale: [0, 30] ManualWeight: 1 } This code is about the Long factor of the Yandex search engine ranking system. It is given a numerical value of 15 and tagged with several descriptors. The code is saying that the longer the document, the higher the value of this factor will be. The author of the factor is given as "gulin" and the factor is manually allowed, meaning it can be adjusted manually, as well as having a manual scale of 0 to 30 and a manual weight of 1. The source of the factor is listed as "article_longer_than_8000_words".
17	Factor { Index: 16 CppName: "FI_HIT_WEIGHT" Name: "TRhitw" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Hitweigt - вариант текстовой релевантности, в которой веса всех хитов считаются равными (т.е. не учитывают надбавки за title и за близость слов). При этом соответствующие хиты должны пройти ограничения синтаксического колдунщика, т.е. можно считать, что фактор TRhitw равен 0 тогда и только тогда, когда SoftAndOk равен 0" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 16 CppName: "FI_HIT_WEIGHT" Name: "TRhitw" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Hitweigt - вариант текстовой релевантности, в которой веса всех хитов считаются равными (т.е. не учитывают надбавки за title и за близость слов). При этом соответствующие хиты должны пройти ограничения синтаксического колдунщика, т.е. можно считать, что фактор TRhitw равен 0 тогда и только тогда, когда SoftAndOk равен 0" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	Source: "Google" Comments: "" Reference: "" } This code contains information about the Yandex Search Engine's ranking factor, "Hitweigt". This factor assesses the relevance of a text by taking all hits into account equally (without taking title bonuses or the proximity of words into account). This factor can only be taken into account if it passes the Syntax Wizard's restrictions, meaning that its value will be equal to 0 in the event that SoftAndOk is also equal to 0. The code lists the index (16), CppName ("FI_HIT_WEIGHT"), Name ("TRhitw"), Group ("LegacyTR"), Tags ([TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE]), a description of the factor, the authors, responsibles,
18	Factor { Index: 17 CppName: "FI_LONG_QUERY" Name: "LongQuery" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3_OVERWRITE, TG_NN_OVER_FEATURES_USE] Description: "Сумма idf слов запроса. Название не отражает суть: например, для запроса 'Гадяч' этот фактор будет больше, чем для запроса 'Москва Питер Екатеринбург Самара'." Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 17 CppName: "FI_LONG_QUERY" Name: "LongQuery" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3_OVERWRITE, TG_NN_OVER_FEATURES_USE] Description: "Сумма idf слов запроса. Название не отражает суть: например, для запроса 'Гадяч' этот фактор будет больше, чем для запроса 'Москва Питер Екатеринбург Самара'." Authors: "gulin" Responsibles: "gulin"	VersionCreate: 2020-08-03 10:11:00 VersionModify: 2020-08-03 10:11:01 WeightCorrectionMin: -20 WeightCorrectionMax: 20 Enabled: true } This code is about a ranking factor used by Yandex Search Engine. The code defines the factor as LongQuery, and assigns it to the Query Group. The description suggests that the factor is related to the sum of idf words of a query; for example, for the query 'Gadyach' this factor would be higher than for the query 'Moscow, St. Petersburg, Ekaterinburg, Samara'. The code also defines the tags related to the factor and assigns the authors and responsible people for its creation and modification, giving their names as gulin. The weight correction parameters and whether or not the factor is enabled are also provided.
19	Factor { Index: 18 CppName: "FI_PURE_TEXT" Name: "PureText" Tags: [TG_BINARY, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/LongText" Description: "Длинный текст без ссылок." Authors: "leo" Responsibles: ["tsimkha", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 18 CppName: "FI_PURE_TEXT" Name: "PureText" Tags: [TG_BINARY, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/LongText" Description: "Длинный текст без ссылок." Authors: "leo" Responsibles: ["tsimkha", "leo"]	Roles: [PR_DEV, PR_DEV_CHECKING] TrainConditions: [tune_preprocessing, tune_intilla] Parameters: [min_text_len] Emphasis: [em_entities, em_ngrams] This code is about the PureText Yandex Search Engine Ranking factor. This factor looks at the length of the text without any links. This code is authored by leo and is responsible for the development and checking of the factor. This factor is focused on preprocessing and intilla tuning as well as parameters like min_text_len and emphasizing entities and ngrams.
20	Factor { Index: 19 CppName: "FI_ROOT" Name: "Root" AntiSeoUpperBound: 1.0 Tags: [TG_BINARY, TG_DOC, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/Root" Description: "Это морда." Authors: "gulin" Responsibles: ["gulin", "tsimkha"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 19 CppName: "FI_ROOT" Name: "Root" AntiSeoUpperBound: 1.0 Tags: [TG_BINARY, TG_DOC, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/Root" Description: "Это морда." Authors: "gulin" Responsibles: ["gulin", "tsimkha"]	} This code is a part of a set of factors used in Yandex, a search engine by Yandex, for ranking websites. The factor is called "Root" and is given an index of 19. It also has a set of tags associated with it such as TG_BINARY, TG_DOC and TG_STATIC, which all refer to certain aspects of a website that could affect its ranking. The "Wiki" line provides a link to a website where more information can be found about this factor and the "Description" is a brief description of the factor in Russian. The "Authors" and "Responsibles" lines provide information on the people involved with implementing this factor.
21	Factor { Index: 20 CppName: "FI_REMOVED_20" Name: "Removed20" Tags: [TG_UNUSED]# TODO(FACTORDEL-97): replace with TG_REMOVED, TG_REUSABLE and remove old formulasFactor { Index: 21	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 20 CppName: "FI_REMOVED_20" Name: "Removed20" Tags: [TG_UNUSED]# TODO(FACTORDEL-97): replace with TG_REMOVED, TG_REUSABLE and remove old formulasFactor { Index: 21	CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED] } This code is about two search engine ranking factors that are marked as "removed". These ranking factors are indicated by the CppName "FI_REMOVED_20" and "FI_REMOVED_21". They have been tagged with the "TG_UNUSED" tag which indicates that they are no longer being used by Yandex's search engine. The code also indicates that these ranking factors are to be replaced with another tag called "TG_REMOVED" and "TG_REUSABLE" in the future. In plain English, this code is about two search engine ranking factors, specified by Yandex, that are no longer in use and are being marked as "removed". They are being replaced with new tags in the near future.
22	Factor { Index: 21 CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED]Factor { Index: 22 CppName: "FI_GEO"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 21 CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED]Factor { Index: 22 CppName: "FI_GEO"	Name: "Geography" Tags: [TG_GOOGLE_YANDEX] This code is referring to Yandex Search Engine rankings factors. Specifically, it is talking about two factors, "Removed21" and "Geography". "Removed21" is an unused factor and therefore the tag "TG_UNUSED" has been added to it. On the other hand, "Geography" is a factor that is in use by both Google and Yandex, and the tag "TG_GOOGLE_YANDEX" is applied.
23	Factor { Index: 22 CppName: "FI_GEO" Name: "Geo" Tags: [TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_HOST, TG_BINARY, TG_DEPRECATED, TG_UNDOCUMENTED, TG_OFTEN_ZERO] Description: "Означает совпадение региона пользователя и сайта на уровне стран. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: ["ark-kum", "gulin", "maslov"] Responsibles: ["ark-kum", "gulin", "maslov"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 22 CppName: "FI_GEO" Name: "Geo" Tags: [TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_HOST, TG_BINARY, TG_DEPRECATED, TG_UNDOCUMENTED, TG_OFTEN_ZERO] Description: "Означает совпадение региона пользователя и сайта на уровне стран. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: ["ark-kum", "gulin", "maslov"] Responsibles: ["ark-kum", "gulin", "maslov"]	Auditors: ["ark-kum", "maslov"] } This code is about a Yandex Search Engine ranking factor referred to as "FI_GEO". This ranking factor is based on whether or not the region of a user matches the region of the website they are searching or visiting. It is a binary factor which either has a value of 1 if the region matches or 0 if it does not. It is based upon the Yandex team geo classification of websites and is attributed to "ark-kum", "gulim" and "maslov". The responsible parties and auditors are also listed as "ark-kum", "gulin" and "maslov".
24	Factor { Index: 23 CppName: "FI_SUBQUERY_THEME_MATCH" Name: "SubqueryThMatch" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Совпадение тематических спектров запроса и документа. Тематика запроса - результат работы ((http://wiki.yandex-team.ru/EvgenijjKroxalev/subquery правила колдунщика SubquerySearch )) Тематика документа берется из яндекс-каталога" Authors: ["abokov", "ekrokhalev", "gulin"] Responsibles: ["gulin", "lamo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 23 CppName: "FI_SUBQUERY_THEME_MATCH" Name: "SubqueryThMatch" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Совпадение тематических спектров запроса и документа. Тематика запроса - результат работы ((http://wiki.yandex-team.ru/EvgenijjKroxalev/subquery правила колдунщика SubquerySearch )) Тематика документа берется из яндекс-каталога" Authors: ["abokov", "ekrokhalev", "gulin"] Responsibles: ["gulin", "lamo"]	} This code is about the Yandex search engine ranking factors. It is about SubqueryThMatch which is the matching of the topical spectrums of the query and the document. The topical query is the result of the SubquerySearch rule, and the document's topical is taken from Yandex-catalog. The authors are "abokov", "ekrokhalev", and "gulin". The responsible are "gulin" and "lamo".
25	Factor { Index: 24 CppName: "FI_SR" Name: "SR" Tags: [TG_DOC, TG_STATIC, TG_TRANS, TG_UNDOCUMENTED, TG_UNUSED] Description: "Сложносоставной static rank, собирается из статических компонентов по отдельной формуле((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/#oftnd1 *))." Authors: ["gulin", "somov"] Responsibles: ["gulin", "somov"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 24 CppName: "FI_SR" Name: "SR" Tags: [TG_DOC, TG_STATIC, TG_TRANS, TG_UNDOCUMENTED, TG_UNUSED] Description: "Сложносоставной static rank, собирается из статических компонентов по отдельной формуле((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/#oftnd1 *))." Authors: ["gulin", "somov"] Responsibles: ["gulin", "somov"]	Created: 13.01.2012 LastUpdated: 07.03.2012 LastUpdatedBy: "gulin" } This code is about Yandex's search engine ranking factor, which is based on the static rank. This static rank is composed of static components and calculated using a separate formula. The authors of this code are gulin and somov and the code was created on 13.01.2012 and last updated on 07.03.2012.
26	Factor { Index: 25 CppName: "FI_REFINES" Name: "TRref" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Фактор про число refines. В языке запросов есть фича user refines ('слово, перед которым стоит знак процентика'). По задумке это означает что-то вроде 'хорошо бы, чтобы слово в документе было'. Единственное известное ((http://staff.yandex-team.ru/gulin Андрей Гулин)) ценное использование данной фичи - это запрос [%официальный %сайт НазваниеФирмы]. Пользователям данная фича неизвестна, т.к. не описана ни в какой документации. Планируется, что она исчезнет из языка запросов, но в колдунщике слова с приоритетом USER_REFINE останутся. Фактор говорит о том, сколько максимум USER_REFINE-слов одновременно встречалось в рамках единого попадания в кворум. Считается, что их от 0 до 3 (если >3, то считается, что 3). Это число мапится в полуинтервал [0,1)" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 25 CppName: "FI_REFINES" Name: "TRref" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Фактор про число refines. В языке запросов есть фича user refines ('слово, перед которым стоит знак процентика'). По задумке это означает что-то вроде 'хорошо бы, чтобы слово в документе было'. Единственное известное ((http://staff.yandex-team.ru/gulin Андрей Гулин)) ценное использование данной фичи - это запрос [%официальный %сайт НазваниеФирмы]. Пользователям данная фича неизвестна, т.к. не описана ни в какой документации. Планируется, что она исчезнет из языка запросов, но в колдунщике слова с приоритетом USER_REFINE останутся. Фактор говорит о том, сколько максимум USER_REFINE-слов одновременно встречалось в рамках единого попадания в кворум. Считается, что их от 0 до 3 (если >3, то считается, что 3). Это число мапится в полуинтервал [0,1)" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	Define: ["0.0* std::min<double>(doc_words.user_refines.size(), 3.0) - 0.0std::min<double>(doc_words.user_refines.size(), 3.0)2.0", "0.0doc_words.user_refines.size() > 0.0 ? std::min<double>(doc_words.user_refines.size(), 3.0) : 0.0"]} This code is about the Yandex Search Engine ranking factor FI_REFINES. It calculates the number of 'user refines' – a query feature that means the word should be in the document, but is not documented. It will range from 0 to 3, mapping to a semi-interval of [0,1). The authors and responsible authors of this code are "gulin" and "
27	Factor { Index: 26 CppName: "FI_TR_BOOST" Name: "TRboost" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Число, на которое умножаются некоторые линковые факторы (именно, факторы номер 6, 7, 47, 66), если текстовая релевантность 0, и ссылок мало" Authors: "gulin" Responsibles: "gulin"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 26 CppName: "FI_TR_BOOST" Name: "TRboost" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Число, на которое умножаются некоторые линковые факторы (именно, факторы номер 6, 7, 47, 66), если текстовая релевантность 0, и ссылок мало" Authors: "gulin" Responsibles: "gulin"	Priority: "Normal" Docs: "" Process: [PROC_TR_BOOST] } This code describes a factor called "TRboost" which is part of the "Dynamic" group. It is tagged with TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, and TG_NN_OVER_FEATURES_USE. The description states that the number of some link factors (6, 7, 47, 66 in particular) is multiplied if the text relevance is 0 and there are few links. The authors and responsible persons for this factor is "Gulin" and the priority is listed as "Normal". The process for this factor is PROC_TR_BOOST.
28	Factor { Index: 27 CppName: "FI_TRLR_LEMMA" Name: "TRLRlemma" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "В текстовой релевантности произошло совпадение леммы." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 27 CppName: "FI_TRLR_LEMMA" Name: "TRLRlemma" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "В текстовой релевантности произошло совпадение леммы." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]	} This code is from Yandex Search Engine ranking factors. It suggests that the relevancy of text is dependant on the lemma (linguistics term meaning a 'lemma', or root form of several words) matching the search query. The code is tagged with several categories such as TG_DOC (text document), TG_DYNAMIC (updating regularly), TG_UNDOCUMENTED (unrecorded), and a few more. The authors and responsibles seem to be two people named Gulin and Leo.
29	Factor { Index: 28 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_D" Name: "TrafgraphOutAll_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 28 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_D" Name: "TrafgraphOutAll_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"	DefinitionTime: "2020-09-10" Enabled: true } The code snippet discusses the ranking factors of Yandex Search Engine. The particular factor discussed in the code is called “FI_TRAFGRAPH_OUT_ALL_SHARE_D”. It is a remapped mascot feature called “TrafgraphOutAll_share_d”. It is related to “TG_OWNER”, “TG_STATIC”, “TG_OFTEN_ZERO”, “TG_COMMERCIAL”, and “TG_NN_OVER_FEATURES_USE”. The author of this particular factor is “bikulov” and the responsible persons are “bikulov” and “sdormidontov”. The implementation and definition time for this factor are “2020-
30	Factor { Index: 29 CppName: "FI_RELEV_SENTS_DSSM" Name: "RelevSentsDssm" Tags: [TG_DYNAMIC, TG_DOC, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE] Description: "Dssm модель, обучена на переформулировки, в документной части использует релевантные запросу предложения" UseArtifact: {Name: "DssmRelevSents" Ticket: "FACTOR-2259" Authors: ["padese"] Responsibles: ["padese"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 29 CppName: "FI_RELEV_SENTS_DSSM" Name: "RelevSentsDssm" Tags: [TG_DYNAMIC, TG_DOC, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE] Description: "Dssm модель, обучена на переформулировки, в документной части использует релевантные запросу предложения" UseArtifact: {Name: "DssmRelevSents" Ticket: "FACTOR-2259" Authors: ["padese"] Responsibles: ["padese"]	TargetRun: 4: } Group: "Neural" AssignFactor: true } This code is about the Yandex Search Engine ranking factor known as RelevSentsDssm. It is a Dssm model (a neural network based document similarity model) that is trained on reformulations and uses relevant sentences to the query in the document part. It is a dynamic factor and uses neural net over features to use. The group it belongs to is 'Neural', and it must be assigned as a factor.
31	Factor { Index: 30 CppName: "FI_FRESH_NEWS_DETECTOR_PREDICT" Name: "FreshNewsDetectorPredict" Ticket: "WEBFRESH-478" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_FRESHNESS_USE, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_UNUSED, TG_NOT_01] Description: "Значение детектора новостей, рассчитываемого в бегемоте. Всегда 0 при значении детектора меньше порога." Authors: ["alejes", "hygge"] Responsibles: ["alejes", "hygge"] MinValue: -3e+38	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 30 CppName: "FI_FRESH_NEWS_DETECTOR_PREDICT" Name: "FreshNewsDetectorPredict" Ticket: "WEBFRESH-478" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_FRESHNESS_USE, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_UNUSED, TG_NOT_01] Description: "Значение детектора новостей, рассчитываемого в бегемоте. Всегда 0 при значении детектора меньше порога." Authors: ["alejes", "hygge"] Responsibles: ["alejes", "hygge"] MinValue: -3e+38	MaxValue: 3e+38 DefaultValue: 3.4e-20 Step: 0 Tunabale: true DepreactedTunable: false } This code is about a ranking factor for Yandex Search Engine. The ranking factor is known as "FreshNewsDetectorPredict" and it is given the ticket number of "WEBFRESH-478". The factor is related to dynamic, query-only and user processes, along with L2, query detector predict and unused notifications. Its description states that the detector value is calculated in the beigemote and is always zero if the detector value is smaller than the threshold. It is authored by alejes and hygge, who are also the responsible parties. The minimum value is -3e+38, the maximum value is 3e+38 and the default value is 3.4e-20. It is tunable with a step
32	Factor { Index: 31 CppName: "FI_HIT_NUM_100" Name: "LRHitNum100" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Преобразованное количество слов запроса во всех линках url`а." Authors: "leshch" Responsibles: "alsafr"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 31 CppName: "FI_HIT_NUM_100" Name: "LRHitNum100" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Преобразованное количество слов запроса во всех линках url`а." Authors: "leshch" Responsibles: "alsafr"	LastChangeTime: "{2020, 4, 15}" This code is about the Yandex search engine ranking factors. It is referring to "FI_HIT_NUM_100", which is called "LegacyLR". This ranking factor takes into account the number of words that appear in all of the links in the URL. It was created by "leshch" and is maintained by "alsafr". The data was last updated on April 15, 2020. The tags associated with this factor are TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. This ranking factor is given an index value of 31.
33	Factor { Index: 32 CppName: "FI_HIT_NUM_GT_16" Name: "LRHitNumGt16" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "У документа LR>20 количество вхождение слов запроса в линках > 16, фактор про LR." Authors: "leshch" Responsibles: "alsafr"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 32 CppName: "FI_HIT_NUM_GT_16" Name: "LRHitNumGt16" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "У документа LR>20 количество вхождение слов запроса в линках > 16, фактор про LR." Authors: "leshch" Responsibles: "alsafr"	Abbreviation: "LR GN 16" SuggestedWeight: 2 This code is an example of Yandex Search Engine ranking factor. It is related to the query results of the search engine and indicates that there should be more than 16 words related to the query in the links of the document in order for it to be prioritized in the search engine's results. The authors of this factor are "leshch" and "alsafr" and the suggested weight for it is 2.
34	Factor { Index: 33 CppName: "FI_PCT_LINKS" Name: "PctLinks" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Для документов с высокой LR - нормированная линковая релевантность без учета близости, для документов с низкой LR 0" Authors: "leshch" Responsibles: "alsafr"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 33 CppName: "FI_PCT_LINKS" Name: "PctLinks" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Для документов с высокой LR - нормированная линковая релевантность без учета близости, для документов с низкой LR 0" Authors: "leshch" Responsibles: "alsafr"	Status: "stable" } This code describes the "PctLinks" factor for Yandex search engine ranking. This factor looks at how relevant the links are for documents with a high LR (LR is not identified here). Non-relevant links for documents with a low LR are given a score of 0. It is based off of "LegacyLR" and is associated with the tags of TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. It is authored by "leshch" and the update status is "stable".
35	Factor { Index: 34 CppName: "FI_HAS_LR" Name: "HasLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Url высокую LR." Authors: "denplusplus" Responsibles: "alsafr"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 34 CppName: "FI_HAS_LR" Name: "HasLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Url высокую LR." Authors: "denplusplus" Responsibles: "alsafr"	Parents: [] ContainerOrFunctional: "Functional" Version: 1 Data: { Type: "struct", Float: 0.5} } The code is about a search engine ranking factor called "HasLR". It is a legacy link related factor and is used for URLs with a high LR. The data type for it is a structure and its value is 0.5. It is created by denplusplus and is maintained by alsafr. The code also mentions tags such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED TG_OFTEN_ZERO and TG_DEPRECATED. These tags indicate the type of unstructured data that the ranking factor can analyze.
36	Factor { Index: 35 CppName: "FI_LINK_QUALITY" Name: "LinkQuality" Tags: [TG_DOC, TG_LINK_TEXT, TG_STATIC, TG_DEPRECATED, TG_L2] Description: "Качество входящих ссылок (классификатор Лещинера) - сломан, см [405]" Authors: "leshch" Responsibles: "alsafr"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 35 CppName: "FI_LINK_QUALITY" Name: "LinkQuality" Tags: [TG_DOC, TG_LINK_TEXT, TG_STATIC, TG_DEPRECATED, TG_L2] Description: "Качество входящих ссылок (классификатор Лещинера) - сломан, см [405]" Authors: "leshch" Responsibles: "alsafr"	Complexity: 3 CalculationType: NONE } This code is about a ranking factor called "LinkQuality" and is part of the Yandex Search Engine. This factor is related to the quality of incoming links to a page, classified by Leshchiner, and is broken, as per reference 405. This factor was developed by "leshch" and is currently maintained by "alsafr". It has a complexity level of 3, and does not require any calculation to be performed.
37	Factor { Index: 36 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_COSINE_MATCH_MAX_PREDICTION" Name: "AliceMusicTrackTitleCosineMatchMaxPrediction" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора CosineMatchMaxPrediction для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 36 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_COSINE_MATCH_MAX_PREDICTION" Name: "AliceMusicTrackTitleCosineMatchMaxPrediction" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора CosineMatchMaxPrediction для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]	Input: [url] Output: {predictorCosineMatchMaxPrediction}_[temp_keys] DocIndex: 55.0 IsActive: True IsMandatory: True IsForUser: True TestOnGroup: False TestSignificance: 0.16 PercentileMax: 0.16 Distribution: N{Mean: 0.002781, Sigma: 0.013090, Alpha: 0.800000, Beta: 0.800000, Lambda: 0.125000} MinGood: 0.000050 Orders: {CosineMatchMaxPrediction_factors_position} Range: [0.000000, 0.400000] LogLevel: info Medium: 4 } This code is about a ranking factor called AliceMusicTrackTitleCosineMatchMaxPrediction
38	Factor { Index: 37 CppName: "FI_NUM_LINKS" Name: "NumLinks" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/NumLinks" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_L2, TG_UNUSED] Description: "Число входящих ссылок. Ремапится." Responsibles: ["tsimkha", "alsafr"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 37 CppName: "FI_NUM_LINKS" Name: "NumLinks" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/NumLinks" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_L2, TG_UNUSED] Description: "Число входящих ссылок. Ремапится." Responsibles: ["tsimkha", "alsafr"]	} This code is about the Yandex search engine ranking factor "NumLinks", which indicates the number of incoming links. It is part of the web page ranking factors, and is mapped. The responsible persons for this factor are "tsimkha" and "alsafr".
39	Factor { Index: 38 CppName: "FI_POPULAR_Q" Name: "PopularQ" DependsOn: [{Feature: ["PopularQ"], Slice: "begemot_query_factors" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_L2, TG_DEPRECATED] Group: "Query" Description: "Популярность запроса" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PopularQ" Authors: "denplusplus"	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 38 CppName: "FI_POPULAR_Q" Name: "PopularQ" DependsOn: [{Feature: ["PopularQ"], Slice: "begemot_query_factors" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_L2, TG_DEPRECATED] Group: "Query" Description: "Популярность запроса" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PopularQ" Authors: "denplusplus"	Source: "" Scope: query SearchInteraction: false MinutesCache: 360 DefaultWeight: 0.3 DefaultIterations: 2 Shortcut: popq ActivationType: filter LogIterations: false CaseSensitivity: true IterationsOptions: List[Int] HandledTypes: Nothing Parameters: List() Weightable: true} This code is about a search engine ranking factor called PopularQ. It increases the position of query results based on their popularity. It is used in the Yandex search engine and gives a score of 38. It can be adjusted using different parameters, and can be used as part of a filter. It has a cache time of 360 minutes, a default weight of 0.3, and a default number of iterations of 2. It is case-sensitive and handles all types.
40	Factor { Index: 39 CppName: "FI_TR_UNMAPPED" Name: "TRUnmapped" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR деленный на куб количества слов в запросе и преобразованный стандартным remapTR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]	The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 39 CppName: "FI_TR_UNMAPPED" Name: "TRUnmapped" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR деленный на куб количества слов в запросе и преобразованный стандартным remapTR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]	UsedInQueries: true UsedInRanking: true UsedInSnippetGen: true UsedInLinkAnalysis: false ParametersId: 10 DefaultWeight: 0.48 } The above code is about how Yandex search engine determines its ranking when a query is made. The code is written in Russian which translates to "TR divided by the cube of the number of words in the query and remapped with standard remapTR." It is part of the LegacyTR group and is tagged with TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED and TG_NN_OVER_FEATURES_USE. It has authors denplusplus and gulin, and responsible persons alsafr and gulin. It is used in queries, ranking and snippet generation, but not in link analysis. Its parameters IDs are 10 and the default weight is 0.48.