{"id":867,"date":"2026-08-20T20:05:21","date_gmt":"2026-08-20T17:05:21","guid":{"rendered":"https:\/\/www.tayfnews.tech\/tr\/genel\/uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor\/"},"modified":"2026-08-20T20:05:21","modified_gmt":"2026-08-20T17:05:21","slug":"uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor","status":"publish","type":"post","link":"https:\/\/www.tayfnews.tech\/tr\/technology\/uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor\/","title":{"rendered":"\u00dcretken \u00d6neri Sistemleri, \u0130nternet \u00d6l\u00e7e\u011findeki Yapay Zekay\u0131 D\u00f6n\u00fc\u015ft\u00fcr\u00fcyor"},"content":{"rendered":"<p>Modern t\u00fcketici internet platformlar\u0131, \u00f6neri sistemlerinin geleneksel benzerlik metriklerinden \u00fcretken yapay zekaya ge\u00e7i\u015f yapmas\u0131yla birlikte mimari \u00e7er\u00e7evelerini de\u011fi\u015ftiriyor. Onlarca y\u0131ld\u0131r \u00f6neri motorlar\u0131; dijital ticareti, sosyal ak\u0131\u015flar\u0131 ve medya kataloglar\u0131n\u0131 g\u00fc\u00e7lendirerek \u00fcretim makine \u00f6\u011frenimindeki en kritik ve hesaplama a\u00e7\u0131s\u0131ndan en yo\u011fun i\u015f y\u00fcklerinden birini temsil etti. M\u00fchendislik ekipleri \u015fimdi, devasa kataloglar genelinde gelecekteki kullan\u0131c\u0131 eylemlerini tahmin etmek i\u00e7in dizi y\u00f6nlendirici (sequence-to-sequence) \u00fcretken teknikleri uyarl\u0131yor.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_86 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0130\u00e7indekiler<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u0130\u00e7indekiler Tablosunu A\u00e7\/Kapat\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.tayfnews.tech\/tr\/technology\/uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor\/#Geleneksel_Gomme_Mimarilerinin_Sinirlari\" >Geleneksel G\u00f6mme Mimarilerinin S\u0131n\u0131rlar\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.tayfnews.tech\/tr\/technology\/uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor\/#Uretken_Oneri_Sistemleri_Nasil_Calisir\" >\u00dcretken \u00d6neri Sistemleri Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.tayfnews.tech\/tr\/technology\/uretken-oneri-sistemleri-internet-olcegindeki-yapay-zekayi-donusturuyor\/#Uretimde_Egitimi_ve_Cikarimi_Olceklendirmek\" >\u00dcretimde E\u011fitimi ve \u00c7\u0131kar\u0131m\u0131 \u00d6l\u00e7eklendirmek<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Geleneksel_Gomme_Mimarilerinin_Sinirlari\"><\/span>Geleneksel G\u00f6mme Mimarilerinin S\u0131n\u0131rlar\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Tarihsel olarak b\u00fcy\u00fck \u00f6l\u00e7ekli \u00f6neri sistemleri; aday getirme, filtreleme ve puanlama a\u015famalar\u0131ndan olu\u015fan \u00e7ok a\u015famal\u0131 boru hatlar\u0131na (pipeline) dayan\u0131yordu. Bu standart paradigma alt\u0131nda modeller; kullan\u0131c\u0131 profillerini ve katalog \u00f6\u011felerini, g\u00f6mme tablolar\u0131 olarak bilinen yo\u011fun vekt\u00f6r uzaylar\u0131na e\u015fler. Yakla\u015f\u0131k en yak\u0131n kom\u015fular veya i\u00e7 \u00e7arp\u0131m hesaplamalar\u0131 gibi benzerlik algoritmalar\u0131, mekansal yak\u0131nl\u0131\u011fa dayal\u0131 e\u015fle\u015fmeleri belirler.<\/p>\n<p>Statik kataloglar i\u00e7in etkili olsa da bu eski yakla\u015f\u0131m \u00e7e\u015fitli operasyonel darbo\u011fazlar ortaya \u00e7\u0131kar\u0131yor:<\/p>\n<ul>\n<li><strong>Devasa Bellek Kaplad\u0131\u011f\u0131 Alan:<\/strong> Milyarlarca farkl\u0131 varl\u0131k kimli\u011fi (ID) i\u00e7eren g\u00f6mme tablolar\u0131, \u00e7\u0131kar\u0131m k\u00fcmeleri (cluster) aras\u0131nda y\u00fczlerce gigabayt veya terabayt da\u011f\u0131t\u0131k bellek gerektirir.<\/li>\n<li><strong>Optimal Olmayan Zamansal Modelleme:<\/strong> Geleneksel ikili kodlay\u0131c\u0131 (dual-encoder) mimariler; n\u00fcansl\u0131 s\u0131ral\u0131 ba\u011f\u0131ml\u0131l\u0131klar\u0131, oturum kaymalar\u0131n\u0131 ve uzun zaman dilimlerinde geli\u015fen kullan\u0131c\u0131 niyetini yakalamakta zorlan\u0131r.<\/li>\n<li><strong>So\u011fuk Ba\u015flang\u0131\u00e7 Zafiyetleri:<\/strong> S\u0131n\u0131rl\u0131 ge\u00e7mi\u015f etkile\u015fime sahip yeni \u00f6\u011feler veya kullan\u0131c\u0131lar g\u00fc\u00e7l\u00fc vekt\u00f6r temsillerinden yoksundur ve bu durum s\u0131ralama hassasiyetini d\u00fc\u015f\u00fcr\u00fcr.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Uretken_Oneri_Sistemleri_Nasil_Calisir\"><\/span>\u00dcretken \u00d6neri Sistemleri Nas\u0131l \u00c7al\u0131\u015f\u0131r?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u00dcretken paradigma, \u00f6neriyi nedensel dil modellerinin do\u011fal metindeki sonraki belirte\u00e7leri (token) tahmin etme bi\u00e7imine \u00e7ok benzer \u015fekilde otoregresif bir s\u0131ra tahmin g\u00f6revi olarak yeniden yap\u0131land\u0131r\u0131r. Statik vekt\u00f6r mesafelerini \u00f6l\u00e7mek yerine bir \u00fcretken \u00f6neri sistemi; t\u0131klamalar, sat\u0131n almalar, kal\u0131\u015f s\u00fcreleri ve arama sorgular\u0131 dahil olmak \u00fczere bir kullan\u0131c\u0131 etkile\u015fimleri ge\u00e7mi\u015f dizisini de\u011ferlendirerek en olas\u0131 sonraki etkile\u015fimi do\u011frudan \u00fcretir veya puanlar.<\/p>\n<p>Kullan\u0131c\u0131 etkinlik g\u00fcnl\u00fcklerini yapay kronolojik belirte\u00e7ler olarak ele alan \u00fcretken modeller, karma\u015f\u0131k davran\u0131\u015fsal dinamikleri \u00f6\u011frenir. Bu mimari; platformlar\u0131n, seyrek ve ba\u011flant\u0131s\u0131z \u00f6\u011fe tablolar\u0131na yaln\u0131zca g\u00fcvenmek zorunda kalmadan, farkl\u0131 etkile\u015fim t\u00fcrleri aras\u0131nda genelleme yapan birle\u015fik Transformer tabanl\u0131 a\u011flar halinde getirme ve s\u0131ralamay\u0131 birle\u015ftirmesini sa\u011flar.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Uretimde_Egitimi_ve_Cikarimi_Olceklendirmek\"><\/span>\u00dcretimde E\u011fitimi ve \u00c7\u0131kar\u0131m\u0131 \u00d6l\u00e7eklendirmek<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u00dcretken \u00f6neri sistemlerini \u00f6l\u00e7ekli bir \u015fekilde devreye almak, \u00f6zel donan\u0131m altyap\u0131s\u0131 ve optimize edilmi\u015f yaz\u0131l\u0131m \u00e7al\u0131\u015fma zamanlar\u0131 gerektiren belirgin hesaplama zorluklar\u0131n\u0131 beraberinde getirir. \u00dcretim t\u00fcketici platformlar\u0131, kat\u0131 milisaniye d\u00fczeyinde gecikme b\u00fct\u00e7eleriyle y\u00fcz milyonlarca e\u015fzamanl\u0131 sorguya hizmet verdi\u011finden, derin \u00fcretken modellere hizmet vermek radikal performans optimizasyonlar\u0131 gerektirir:<\/p>\n<ul>\n<li><strong>Y\u00fcksek Verimli S\u0131ra \u0130\u015fleme:<\/strong> Geni\u015f etkile\u015fim ge\u00e7mi\u015fleri \u00fczerinde e\u011fitim, uzun ba\u011flam pencerelerini ele almak i\u00e7in y\u00fcksek bant geni\u015fli\u011fine sahip bellek mimarileri ve paralel y\u00fcr\u00fctme stratejileri gerektirir.<\/li>\n<li><strong>Verimli Kod \u00c7\u00f6zme (Decoding):<\/strong> Milyonlarca katalog \u00f6\u011fesi genelinde tahminler \u00fcretmek; ak\u0131\u015f arama (beam search), spek\u00fclatif kod \u00e7\u00f6zme veya hiyerar\u015fik belirte\u00e7le\u015ftirme stratejilerinin optimize edilmesini gerektirir.<\/li>\n<li><strong>Da\u011f\u0131t\u0131k H\u0131zland\u0131rma:<\/strong> Modern GPU k\u00fcmeleri ve \u00f6zel tens\u00f6r motorlar\u0131, milyar parametreli \u00f6neri mimarilerinin hem e\u011fitim verimlili\u011fini hem de ger\u00e7ek zamanl\u0131 \u00e7\u0131kar\u0131m taleplerini s\u00fcrd\u00fcrmek i\u00e7in esast\u0131r.<\/li>\n<\/ul>\n<p>Dijital platformlar geni\u015fleyen kataloglar\u0131 ve daha y\u00fcksek sorgu hacimlerini y\u00f6netirken, \u00fcretken \u00f6neri sistemleri; i\u00e7erik olu\u015fturmay\u0131 ve ger\u00e7ek zamanl\u0131 davran\u0131\u015fsal ki\u015fiselle\u015ftirmeyi \u00f6l\u00e7eklenebilir bir \u00e7er\u00e7evede birle\u015ftirerek ke\u015fif s\u00fcrecinde kilit bir evrimi temsil eder.<\/p>\n<p><em>Kaynak: <a href=\"https:\/\/developer.nvidia.com\/blog\/how-generative-recommenders-are-redefining-recsys-at-scale\/\" target=\"_blank\" rel=\"noopener noreferrer\">Orijinal Makale<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00dcretken \u00f6neri sistemleri, ger\u00e7ek zamanl\u0131 \u00f6l\u00e7ek i\u00e7in geleneksel g\u00f6mme tablolar\u0131n\u0131 birle\u015fik s\u0131ra tahmin modelleriyle de\u011fi\u015ftirerek modern web platformlar\u0131n\u0131 d\u00f6n\u00fc\u015ft\u00fcr\u00fcyor.<\/p>\n","protected":false},"author":1,"featured_media":866,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowrrDMDA:productID":"","tayfnews_source_url":"","footnotes":"","rank_math_focus_keyword":"\u00d6neri Sistemleri, Makine \u00d6\u011frenimi, S\u0131ra Tahmini, Transformer, G\u00f6mme Tablolar\u0131, \u00c7\u0131kar\u0131m","rank_math_title":"\u00dcretken \u00d6neri Sistemleri, \u0130nternet \u00d6l\u00e7e\u011findeki Yapay Zekay\u0131 D\u00f6n\u00fc\u015ft\u00fcr\u00fcyor","rank_math_description":"\u00dcretken \u00f6neri sistemleri, ger\u00e7ek zamanl\u0131 \u00f6l\u00e7ek i\u00e7in geleneksel g\u00f6mme tablolar\u0131n\u0131 birle\u015fik s\u0131ra tahmin modelleriyle de\u011fi\u015ftirerek modern web platformlar\u0131n\u0131 d\u00f6n\u00fc\u015ft\u00fcr\u00fcyor."},"categories":[2],"tags":[],"class_list":["post-867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/comments?post=867"}],"version-history":[{"count":0,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/867\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media\/866"}],"wp:attachment":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media?parent=867"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/categories?post=867"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/tags?post=867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}