Ukuqonda i-Algorithm Yezindaba Zokuphakelwa Kwezindaba ze-Facebook

facebook ukuhlanganiswa komuntu

Ukuthola ukubonakala komkhiqizo wakho kuzifunzo zezithameli zakho okubhekiswe kuzo kuyimpumelelo enkulu yabakhangisi bezenhlalo. Le ngenye yezinjongo ezibaluleke kakhulu, futhi ezivame ukungafinyeleleki kusu lomphakathi lomkhiqizo. Kungaba nzima kakhulu ku-Facebook, ipulatifomu ene-algorithm ebanzi futhi eguquguqukayo eyenzelwe ukusiza izethameli okuqukethwe okufanele kakhulu.

I-EdgeRank kwakuyigama elanikezwa i-algorithm yezindaba zokuphakelwa kwezindaba ze-Facebook eminyakeni eyedlule futhi noma manje selithathwa njengeliphelelwe yisikhathi ngaphakathi, leli gama seliphila futhi liyaqhubeka nokusetshenziswa ngabakhangisi namuhla. I-Facebook isasebenzisa imiqondo ye-algorithm yasekuqaleni ye-EdgeRank nohlaka eyakhelwe kulo, kodwa ngendlela entsha.

I-Facebook ibhekisela kuyo njenge-Algorithm Yezinga Lokuphakelwa Kwezindaba. Isebenza kanjani? Nazi izimpendulo zemibuzo yakho eyisisekelo:

Yini ama-Edges?

Noma yisiphi isenzo umsebenzisi asithathayo yindaba yokuphakelwa kwezindaba engahle ibe ne-Facebook ibiza lezi zenzo imiphetho. Noma kunini lapho umngane athumela isibuyekezo sesimo, ephawula ngesibuyekezo somunye umsebenzisi, amaka isithombe, ajoyina ikhasi lomkhiqizo, noma abelana ngokuthunyelwe, kukhiqiza Unqenqema, futhi indaba ngalolo onqenqemeni kungenzeka ivele kokuphakelayo kwezindaba zomuntu siqu komsebenzisi.

Kungaba nzima kakhulu uma ipulatifomu ikhombisa zonke lezi zindaba kokuphakelayo kwezindaba ukuze i-Facebook idale i-algorithm yokubikezela ukuthi indaba ngayinye izoba mnandi kanjani kumsebenzisi ngamunye. I-algorithm ye-Facebook ibizwa nge- “EdgeRank” ngoba ibeka imiphetho bese iyayihlunga kokuphakelayo kwezindaba zomsebenzisi ukukhombisa izindaba ezithakazelisa kakhulu zalowo msebenzisi.

Luyini Uhlaka lwe-Original EdgeRank?

Izingxenye ezintathu zoqobo ze-algorithm ye-EdgeRank yilezi isikolo sokuhlangana, isisindo onqenqemeni, Futhi ukubola kwesikhathi.

Isilinganiso sokuhlangana ubudlelwano obuphakathi komkhiqizo nomlandeli ngamunye, kulinganiswa ngokuthi umlandeli ubuka kangaki futhi ahlanganyele kanjani nekhasi lakho nokuthunyelwe, ngaphezu kwendlela ohlanganyela ngayo nabo ngokuphindaphindiwe.

Isisindo se-Edge silinganiswa ngokuhlanganisa amanani wemiphetho, noma izenzo ezithathwa ngumsebenzisi, ngaphandle kokuchofoza. Isigaba ngasinye semiphetho sinesisindo esihlukile sokuzenzakalelayo, ngokwesibonelo ukuphawula kunamanani esisindo aphezulu kune- ukuthandwa ngoba bakhombisa ukuzibandakanya okukhulu okuvela kumlandeli. Ngokuvamile ungacabanga ukuthi imiphetho ethatha isikhathi esiningi ukuyifeza ijwayele ukukala kakhulu.

Ukubola kwesikhathi kusho ukuthi unqenqema belusaphila isikhathi eside kangakanani. I-EdgeRank iyisikolo esisebenzayo, hhayi into yesikhathi esisodwa. Ngakho-ke okuthunyelwe kwakho kwakamuva kakhulu, kukhuphula isikolo sakho se-EdgeRank. Lapho umsebenzisi angena ku-Facebook, i-newsfeed yabo igcwele okuqukethwe okunamaphuzu aphezulu kakhulu ngaleso sikhathi esithile.

ifomula ye-facebook edgerank

Isikweletu sesithombe: I-EdgeRank.net

Umqondo ngukuthi i-Facebook ivuza imikhiqizo eyakha ubudlelwano futhi ifaka okuqukethwe okuhambisana kakhulu nokuhehayo phezulu kokuphakelwa kwezindaba komsebenzisi ukuze okuthunyelwe kulungiselelwe bona ngqo.

Yini Eshintshile ngeFacebook Edgerank?

I-algorithm iguquke kancane, ithola ukuthuthuka ngezici ezintsha, kepha umbono usafana: I-Facebook ifuna ukunika abasebenzisi okuqukethwe okuthakazelisayo ukuze baqhubeke babuyele endaweni yesikhulumi.

Isici esisodwa esisha, ukuqhutshwa kwezindaba, kuvumela izindaba ukuthi zivele futhi abantu abangazange baskrolele phansi kude ngokwanele ukuze bazibone. Lezi zindaba zizodonswa phezulu phezulu kokuphakelayo kwezindaba uma zisathola ukuhlanganyela okuningi. Lokhu kusho ukuthi okuthunyelwe kwamakhasi adumile kungaba nethuba eliphakeme lokuboniswa noma ngabe banamahora ambalwa ubudala (ukushintsha ukusetshenziswa kwasekuqaleni kwento yokubola kwesikhathi) ngokuya phezulu kokuphakelayo kwezindaba uma izindaba zisathola inombolo ephezulu kokuthandwa namazwana (kusasetshenziswa amaphuzu wokuhlangana kanye nezinto ezisindayo zesisindo). Idatha iphakamise ukuthi lokhu kukhombisa izethameli izindaba abafuna ukuzibona, noma ngabe ziphuthelwe okokuqala ngqa.

Ezinye izici zihloselwe ukuvumela abasebenzisi ukuthi babone okuthunyelwe kusuka emakhasini nabangane abafuna ngendlela efike ngesikhathi, ikakhulukazi ngezihloko ezihamba phambili. Okuqukethwe okukhethekile kuthiwa kusebenza kuphela ngesikhathi esithile, ngakho-ke i-Facebook ifuna abasebenzisi ukuthi bakubone ngenkathi kusasebenza. Lapho umngane noma ikhasi uxhunywe kokuthunyelwe ngento ethile okwamanje eyisihloko esishisayo sengxoxo ku-Facebook njengomcimbi wezemidlalo noma i-premiere yesizini ye-TV, lokho okuthunyelwe kungenzeka kakhulu ukuthi kuvele kuphakeme kokuphakelayo kwezindaba zakho ze-Facebook, ukuze ukwazi sikubone masinyane.

Okuthunyelwe okukhiqiza ukubandakanyeka okuphezulu ngemuva nje kokuthumela kungenzeka kuboniswe kokuphakelayo kwezindaba, kepha kungenzeki uma umsebenzi wehla ngokushesha ngemuva kokuthumela. Ukucabanga ngemuva kwalokhu ukuthi uma abantu bezibandakanya nokuthunyelwe ngemuva nje kokuthi kuthunyelwe kepha hhayi kakhulu emahoreni ambalwa kamuva, okuthunyelwe kwakuthakazelisa kakhulu ngesikhathi bekuthunyelwa futhi kungahle kungathandeki kamuva. Le ngenye indlela yokugcina okuqukethwe ezindabeni ezithunyelwe ngesikhathi esifanele, ezifanele futhi ezithokozisayo.

Ngikukala Kanjani Ukuhlaziywa Kwami Kwezindaba ze-Facebook?

Alikho ithuluzi lesithathu elitholakalayo ukukala amaphuzu we-EdgeRank yomkhiqizo ngoba idatha eningi iyimfihlo. Okungokoqobo Isikolo se-EdgeRank ayikho ngoba wonke umlandeli unenothi elihlukile lokuhlangana nekhasi lomkhiqizo. Ngaphezu kwalokho, i-Facebook igcina i-algorithm iyimfihlo, futhi bahlala beyicindezela, okusho ukuthi inani lamazwana ngokuqhathaniswa nokuthandwa lihlala lishintsha.

Indlela ephumelela kunazo zonke yokukala umthelela we-algorithm esetshenzisiwe kokuqukethwe kwakho ukubona ukuthi ufinyelele abantu abangaki nokuthi ukubandakanyeka kangakanani okuthunyelwe kwakho. Amathuluzi afana I-SumAll Facebook Analytics ihlanganisa le datha ibe yiphelele analytics ideshibhodi ephelele yokulinganisa nokulandelela la ma-metric.

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