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Zonke ubuchule "Yandex"

Ngenxa yenkqubela phambili kwezobuchwepheshe, kwaba lula ukwenza imisebenzi efunekayo ngaphandle kokushiya ekhaya. Ngoku unokwenza usebenze ngeNethiwekhi, kwaye abaninzi baye beziva beve kakuhle kule ntsimi. Ifomu eqhelekileyo yokufumana kwi-intanethi yindalo yewebhusayithi okanye iblogi yakho. Siyabonga kwintengiso eposwe kwiziko, umnikazi wayo unokufumana inzuzo enhle. Enyanisweni, eli cwangciso lisebenza kuphela xa isayithi okanye iblogi zikwiphepha lokuqala lokukhangela. Ukubeka nje, inani leendwendwe kwizinto ezixhomekeke kumthombo kuxhomekeke kwinqanaba lomvuzo womnini walo.

Kwaye into yokuqala ofuna ukuyifumana xa uqala umsebenzi ololo hlobo yindlela yokukhangela i-algorithms isebenza ngayo, ngokukodwa i-algorithms ye "Yandex", injini enkulu yokukhangela i-Runet.

Ziziphi i-algorithms zokusesha?

Ukukhangela i-algorithms, ziyi-algorithms ze "Yandex", zihlobo lohlobo lweemathematika, apho isicelo somsebenzisi singaziwa. I-robot yosesho ixazulula le fomyula: izithuba zamashishini ezingafaniyo kwaye zikhetha ezifanelekileyo.

Ukuba ukwenza lula inkcazo, unokuyibeka ngale ndlela: i-algorithm yokukhangela yinkqubo ekhethekileyo ethatha "ingxaki", kwimeko yethu umbuzo wokukhangela, kwaye inikezela "isisombululo" sayo, oko kukuthi, kubonisa uluhlu lwamasayithi ngolwazi olufunwa ngumsebenzisi.

Ukuxazulula "ingxaki", i-algorithm ikhangelela kuwo onke amagama angundoqo kumaphepha, ifake idilesi efunyenweyo kwaye ifake umphumo wokufuna umsebenzisi. Ngombulelo kwi-algorithm yokukhangela, iirobhothi zinokuhlalutya iziqulatho zezibonelelo ngamnye. Ngokusekelwe kwingcaciso efunyenweyo, isikhundla sesayithi kwi-SERP sinqunywe.

Yintoni echaphazela i-algorithm yokusesha?

Njengoko unokwazi ukubona, iziphumo zokukhangela umbuzo ofanayo kwiinjinjini ezahlukeneyo zophando ziyahluka. Ngoko, i-Yandex algorithm iyahluka kakhulu kwiGoogle. Ngokomzekelo, ukuhlanzeka kovavanyo, siza kuvulwa iithebhu ezimbini: enye injini yokusesha esuka kwiYandex, enye ivela kwi-Google. Ukuba ufaka umbuzo "indlela yokuya eJapan ukuhlala unaphakade" kwisebe lokukhangela, unokubona ukuba indawo yokuqala kwi-"Yandex" yindawo yesibini ekukhutshweni kweGoogle.

Iimpawu zee-algorithm ziphantsi kwemfihlo ecacileyo, zihlalutya iiparameters zendawo enye, kodwa ingakanani inqaku elihlawulwayo, kwaye lingakanani - akukho mntu uyaziyo. Nabo-SEO-optimizers bacela lo mbuzo.

Iiparameters apho i-algorithms isebenza ngayo

Njengoko sele kukhankanyiwe, i-algorithms yokukhangela "yeYandex" ikhokelwa ngamaparitha athile. Ngokubanzi, banokuhlulwa ngamaqela amabini. Ezinye iiparitha zinoxanduva lokuzaliswa kwezinto eziphathekayo, ziyakwazi ukubizwa ngokuthi "umbhalo". Abanye-babonisa iimpawu zobugcisa (ukuyila, i-plug-ins, njl.). Ngokusemthethweni, sinokuzibiza ngokuthi "ubunjineli-ukusebenza". Ukuze kucaciswe, kuyafaneleka ukuphula zonke iiparitha zibe ngamaqela uze uzibeke etafileni.

"Umbhalo"

"Ubunjineli-busebenza"

Ulwimi lovimba

Ubudala beSayithi, igama lesizinda, indawo.

Ukuthandwa kwesihloko kunye nesixa sombhalo kwiphepha ngalinye.

Inani lamaphepha kunye "nesisindo"

Umlinganiselo wamagama angundoqo kumlinganiselo wesekisi.

Ubukho besisombululo sesitayela

Inani leenkcazo kunye nezinga lokungafani komxholo

Inombolo yezicelo zegama elingundoqo kunye nexesha lolwazi oluhlaziywa.

Ubukhulu befonti kunye nohlobo

Ukufumaneka kweefayili ze-multimedia, amafowuni, iimodyuli ze-flash kunye nee-meta tags

Inani leembonakalo kwitekisi

Isitayela seentloko, imixholo engezantsi kunye ne-CS

Ukudibanisa amagama angundoqo kwi candelo lerekhodi apho isayithi ibhaliswe khona.

Amazwana kwikhowudi, uhlobo lwephepha, impinda

Usetyenziso

Ezi parameters zidlala indima ebalulekileyo kwimigangatho yokulungisa. I-algorithm yesimo yindlela onokuyifumana ngayo ixabiso lephepha ngalinye. Ukubeka nje, ukuba isayithi inezibonakaliso ezilungileyo kuzo zonke iiparameters, ngoko kuya kuba ngaphezulu kwiphumo lokukhangela.

Ukuqulunqa i-algorithms ye "Yandex" ishintsha phantse ngonyaka. Eziphambili zibizwa ngokuba zizixeko. Igama lomgaqo-mtsha wophendlo luqala ngeleta yokugqibela yegama le-algorithm yangaphambili. Ngoko, injini yokukhangela idale izilungiso:

  • Magadan (2008).
  • "The Find" (2008).
  • "Arzamas" (2009).
  • "Snezhinsk" (2009).
  • "Konakovo" (2010).
  • Obninsk (2010).
  • "Krasnodar" (2010).
  • "Reykjavik" (2011).
  • "Kaliningrad" (2012).
  • "Dublin" (2013).
  • "Nachalovo" (2014).
  • "Odessa" (2014).
  • "Amsterdam" (2015).
  • "IMinusinsk" (2015).
  • "Kirov" (2015).

Ukongeza kubo, kwiminyaka emibili edlulileyo kwakukho ezinye iindlela zokukhangela ezintathu ze "Yandex". Kwakhona kukho i-algorithm ekhethekileyo ye-AGS-17 kunye ne-AGS-30, umsebenzi oyintloko oza kubheka izibonelelo ezingahlangabezane neemfuno. Ngokulula nje, ezi zilungelelwaniso zifuna iisayithi kunye nomxholo ongafaniyo kunye nendima yamagama asemqoka, kwaye zenze izigwebo kubo. Kwaye ngoku malunga ne-algorithm encinane.

Ulungelelaniso luka-2008-2011

Kwiminyaka emibini, "iYandex" yakha ezine i-algorithms zokukhangela, ezahluke ngokulinganayo kwiinguqulelo zangaphambili, zangaphambili. Ngo-2008, ngokokuqala ngqa kwindawo yokukhangela, ukungafani komxholo (iMagadan) yaqala ukuqwalaselwa. Ngethuba lokuqala inkqubo entsha yaqaliswa, eyayiqwalasela ubukho bamagama okuma ("Nakhodka").

Ngo-2009, i-algorithm yokukhangela "Yandex" yaqala ukuqwalasela ummandla womsebenzisi, i-classifier entsha yee-geo-dependent and geo-independent questions. Ukuphucula umlinganiselo wendawo yesithili ekukhetheni iimpendulo ("Arzamas"). Ukugqithiswa kuye kwaguquka kakhulu, iingu-19 ezintsha zeendawo zendawo zibonakaliswe kwaye i-criteria ye geo-independent rank usetyenziswe ngokutsha ("Snezhinsk", "Konakovo").

Ngo-2010, ii-algorithms zeenjini zokukhangela iYandex zakha iifomula ezintsha ze-geo-dependence kunye ne-geo-independent (Imibuzo ye-Geo-Independent) (Obninsk, Krasnodar). Ngo-2011 kwaphawulwa ngokuqala kwendalo yokukhishwa komntu, ukukhethwa kolwimi kwabasebenzisi be-intanethi kwaqala ukuqwalaselwa.

Ukukhangela usetyenziso lwe-2012-2014

Ngo-2012, ukukhishwa komntu ukukhutshwa kuye kwatshintshile kakhulu: baqala ukuqwalasela iimfuno zabasebenzisi kwixesha elide, ukubaluleka kweziza ezityelelwe rhoqo (uKaliningrad) kwandisiwe. Ngo-2013, i-Yandex algorithm sele isilungele ngokukhawuleza iziphumo zophando ngeminqweno yomsebenzisi othile ngexesha leseshoni, ithathelwe ingqalelo iminqweno yexeshana ("Dublin"). Ngo-2014, ukufakwa kwezibhengezo zeemfuno zorhwebo kwizinga lezimpendulo zacinywa ("Nachalovo").

"Amsterdam", "iMinusinsk", "iKrov"

Kwimiphumo yokukhangela, ikhadi eneenkcukacha yaqala ukubonakala kufuphi nomphumo, xa uhamba ngekhonkco ("Amsterdam"). Ngethuba lokuqala, umsebenzi we-Yandex algorithm wawuncipha kwizinga lezibonelelo, ezinezixhobo ezininzi ze-SEO. Ubungqina befayile yekhonkco ebanzi yayiyimbangela ebalulekileyo yokulahlekelwa kwezikhundla. I-Algorithm "i-Minusinsk" "Yandex" yaqala ukuxhoma amanxanxu e-SEO, kamva kamva ukubalwa kweengxelo ezibuyiselwayo, kodwa kuphela kwindawo yaseMoscow.

Ngomnyaka wesithathu wale algorithm, i-randomization yemibuzo echaphazelekayo yaziswa. Ukubeka ngokukhawuleza, xa ukhupha izicelo onokuzihlela ngomhla, ukuthandwa okanye ummandla ("Kirov").

"UVladivostok" kunye ne "Palekh"

I-Algorithm "i-Vladivostok", eyaqala ukusebenza ekuqaleni kuka-2016, yaqala ukuqwalasela ukulungelelaniswa kwezibonelelo kwizixhobo eziphathekayo, iziphumo zokukhutshwa komnxeba zanda.

I-algorithm "i-Palekh" ifanelekileyo ingqwalasela ekhethekileyo, eyenziwa ngoNovemba. Isisiseko esona sisisiseko kukuthelekisa intsingiselo yombuzo kunye namaphepha ngoncedo lwama-networkural neural-intelligence engqondweni, ezibonisa umsebenzi wengqondo yomntu. Ngenxa yoko, ukuhanjiswa kwezihlandlo ezinqabileyo kwanda. Ekuqaleni, le algorithm isebenze kuphela ngababhali bephepha, kodwa njengoko abadali bethetha, ekugqibeleni bafunde "ukuqonda" itekisi ngokwayo. Umsebenzi we-algorithm ungolu hlobo lulandelayo:

  • Inkqubo iqwalasela iinkcukacha zobhaliso phakathi kwe sicelo kunye nentloko, ngokwandisa ukuchaneka kwe-SERP.
  • Sebenza ngeencwadana ezibizwa ngokuba yi "vantic vector". Le ndlela yokukhangela isisombululo inceda ekufumaneni iimpendulo zemibuzo ebomvu. I-algorithm eye yafunda ukuqonda isicatshulwa inokuvelisa iziphumo apho ayiyi kuba nelizwi elifanayo kunye nombuzo, kodwa, kunjalo, ihambelana ngokupheleleyo nomxholo.

Ngokucacileyo, uYandex uzame ukudala iteknoloji "engqiqweni" efuna izimpendulo ezingekelwe kumagama asemgangathweni, kodwa kwimixholo yombhalo.

Baden-Baden

I-algorithm entsha ye-Yandex, ekhishwe ngo-Matshi 2017, yayiyimpumelelo yangempela kwinkqubo yokusetyenziselwa injini. Kwimiphumo yokukhangela, iisayithi ezinokubaluleka, okuqondakalayo nokufundekayo ziqale ukuvela kwindawo yokuqala. Umsebenzi oyintloko wale algorithm ukubonelela ngomsebenzisi ngegama elihambelana nombuzo, kodwa ulwazi oluyimfuneko.

Ngethuba lo msebenzi "weBaden-Baden", izixhobo ezinolwazi olungaphezulu kolungelelwaniso nolungenalo oluphantsi kwehla luyehla kwiziphumo zophando. Iingcali zaziqinisekile ukuba izikhundla zezitolo ze-intanethi ziya kuwela, njengoko kuninzi amaninzi okuphindaphindayo kunye nenkcazo yeempahla, ezifana ngokufanayo. Kodwa abaphuhlisi be-algorithm baqwalasela ukuba kukho izihloko ezithile apho ukuphindaphinda kwamagama ayingcambu kunokungavinjelwa. Ngoko ke zeziphi izicatshulwa eziphantsi kwezonyanzelo? Kungcono ukujonga umzekelo.

Umbhalo ongahambisani ne-algorithm yokukhangela

Ngaphambili, iiprobhothi zokusesha zaziswa kwizixhobo zokuqala ezikhoyo apho kwakukho amagama angundoqo. Kodwa iicatshulwa kwiindawo ezinjalo zivame ukubonakala njengezicelo ezihlanjululwe "ngamanzi" eemibhalo eziphantsi. Kwaye umzekelo ongaphantsi ubungqina:

"Unyaka ngamnye, iNike ivelisa iimveliso ezingenamsebenzi kwimidlalo. Sneakers, sneakers, iibhola, i-suit ye-Nike, i-T-shirts ye-Nike, iifutshane, i-suit ye-Nike ye-sport, ibhulukwe, ibhola yezemidlalo ye-Nike, iibhola zebhola - ezi kunye nezinye iimveliso ziyafumaneka nakwiyiphi ivenkile. I-Nike yabasetyhini, ukuqokelela kwamadoda kunye nezingane kubonisa umxholo oyintloko we-brand. Iingubo ze-Nike ziyingqayizivele kuloo mveliso nganye idlulisela isimo sengqondo. "

Iicatshulwa ezinjalo aziluncedo, azikho ngaphezu kweebhokisi kunye nezicelo eziphambili. Apha nabo nabo i-algorithm entsha iyalwela. Isiqulatho nomgangatho ophantsi siya kulahlekelwa zikhundla zawo. Kukho imigaqo emithathu yekhontrakthi esemgangathweni:

  • Ukungabikho kwengqiqo kwisicatshulwa.
  • Inani elikhulu lamagama abalulekileyo.
  • Ubukho kwimixholo engamagama angabonakaliyo, avela ngenxa yokuvela ngokuthe ngqo kwegama elingundoqo.

Ngokwemvelo, i-SEO-optimisation ayikhange ifakwe, imigaqo-siseko yeenjini zokusesha ihlala isifananisiwe. Nantsi nje indlela, apho kukho izicelo eziphambili ezi-15-20 ngamanqaku ayi-1000, sele zide zidlulileyo. I-algorithm ye-Baden-Baden igxininisa umgangatho womxholo.

Isiphumo sokusesha

Indawo ebalulekileyo kwinkqubo lokufumana algorithm kufuna ulwazi kunikezelo. Kunikezelo - iphepha lweziphumo ezidibana isicelo esithile. algorithm Ukukhutshwa "Yandex" zakhiwa ngendlela yokuba kungaba ukubala amathuba okufumana impendulo kakhulu efanelekileyo kwaye ziveze nokukhutshwa kwezibonelelo ezilishumi. Kwimeko apho isicelo esimbaxa, umba inokufumaneka iimpendulo 15.

Язык ресурса ULwimi 1. resource

Популярность темы и количество текста на каждой странице. 2. Le ukuthandwa umxholo, kwaye inani lombhalo kwiphepha ngalinye.

Соотношения ключевых слов к общему количеству текста. 3. Imilinganiselo amagama athile kwi inani elipheleleyo lwesicatshulwa.

Количество цитат и уровень уникальности контента 4. Inani yokubhalwa kunye neqondo umxholo unique

Размер шрифта и его тип 5. Ubungakanani befonti kunye nohlobo

Число ссылок в тексте 6. Inani iimbekiselo kwisicatshulwa

Соответствие ключевых слов разделу каталога, где зарегистрирован сайт. 7. amagama Ukutshatisa uluhlu weefayili apho website ibhaliswe.

Enyanisweni, isebenza ngolu hlobo: ukuba algorithm 'uqhelene "kunye isicelo, yaye kuwo kukho impendulo kakhulu efanelekileyo, kunikezelo iimpendulo ezilishumi yenziwe. Kwimeko yokuba injini yokukhangela awukwazi ukufumana iimpendulo ezi linki 15 kuya kwenziwa umba.

Apha, eneneni, kwaye zonke kwiziseko algorithms injini yokuphendla. Ukuze ukuba isiza Ndiziva ndonwabile xa SERP kufuneka ukuba igcwalise ezikumgangatho ophezulu, ulwazi kunye nomxholo efundekayo.

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