{"id":477520,"date":"2023-08-09T09:16:12","date_gmt":"2023-08-09T09:16:12","guid":{"rendered":""},"modified":"2023-09-05T11:14:51","modified_gmt":"2023-09-05T11:14:51","slug":"hybrid-recommender-systems","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/hybrid-recommender-systems\/","title":{"rendered":"Hibrit \u00f6neri sistemleri"},"content":{"rendered":"<h2>girii\u015f<\/h2>\n<p>Hibrit \u00f6neri sistemleri, \u00e7oklu \u00f6neri tekniklerinin g\u00fc\u00e7l\u00fc y\u00f6nlerini birle\u015ftirerek kullan\u0131c\u0131lara ki\u015fiselle\u015ftirilmi\u015f \u00f6neriler sa\u011flamaya y\u00f6nelik geli\u015fmi\u015f bir yakla\u015f\u0131m\u0131 temsil eder. Bu sistemler, kullan\u0131c\u0131 deneyimini geli\u015ftirmek ve kat\u0131l\u0131m\u0131 art\u0131rmak i\u00e7in e-ticaret, e\u011flence, sosyal medya ve i\u00e7erik ak\u0131\u015f platformlar\u0131 dahil olmak \u00fczere \u00e7e\u015fitli alanlarda yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Bu makalede, Hibrit \u00f6neri sistemlerinin tarihini, \u00e7al\u0131\u015fma ilkelerini, t\u00fcrlerini, uygulamalar\u0131n\u0131 ve gelecekteki beklentilerini, bunlar\u0131n proxy sunucu sa\u011flay\u0131c\u0131s\u0131 OneProxy (oneproxy.pro) ile potansiyel ili\u015fkilerine \u00f6zel olarak odaklanarak inceleyece\u011fiz.<\/p>\n<h2>Tarih ve K\u00f6kenler<\/h2>\n<p>\u00d6neri sistemleri kavram\u0131, ara\u015ft\u0131rmac\u0131lar\u0131n kullan\u0131c\u0131lara ki\u015fiselle\u015ftirilmi\u015f \u00f6neriler sunman\u0131n yollar\u0131n\u0131 ke\u015ffetmeye ba\u015flad\u0131klar\u0131 1990&#039;lar\u0131n ba\u015flar\u0131na kadar uzan\u0131yor. \u0130\u015fbirlik\u00e7i filtreleme (CF) ve i\u00e7erik tabanl\u0131 filtreleme (CBF), iki temel yakla\u015f\u0131m olarak ortaya \u00e7\u0131kt\u0131. CF, kullan\u0131c\u0131-\u00f6\u011fe etkile\u015fimlerine dayan\u0131rken CBF, \u00f6\u011fe niteliklerini ve kullan\u0131c\u0131 tercihlerini analiz eder. Her iki y\u00f6ntemin de kendi s\u0131n\u0131rlamalar\u0131 vard\u0131r ve bu da zay\u0131fl\u0131klar\u0131n \u00fcstesinden gelmek ve \u00f6neri do\u011frulu\u011funu art\u0131rmak i\u00e7in bu teknikleri birle\u015ftiren Hibrit \u00f6neri sistemlerinin geli\u015ftirilmesine yol a\u00e7m\u0131\u015ft\u0131r.<\/p>\n<h2>Hibrit Tavsiye Sistemleri Hakk\u0131nda Detayl\u0131 Bilgi<\/h2>\n<p>Hibrit \u00f6neri sistemleri, \u00e7e\u015fitli \u00f6neri algoritmalar\u0131n\u0131n tamamlay\u0131c\u0131 do\u011fas\u0131ndan yararlanmay\u0131 ama\u00e7lamaktad\u0131r. \u0130\u015fbirli\u011fine dayal\u0131 filtrelemenin, i\u00e7erik tabanl\u0131 filtrelemenin ve bazen matris \u00e7arpanlar\u0131na ay\u0131rma, bilgiye dayal\u0131 filtreleme ve derin \u00f6\u011frenme gibi ek tekniklerin g\u00fc\u00e7l\u00fc yanlar\u0131ndan yararlanan bu sistemler, daha do\u011fru ve \u00e7e\u015fitli \u00f6neriler elde eder.<\/p>\n<h2>\u0130\u00e7 Yap\u0131 ve \u0130\u015fleyi\u015f<\/h2>\n<p>Hibrit \u00f6neri sisteminin i\u00e7 yap\u0131s\u0131 genel olarak iki ana bile\u015fene ayr\u0131labilir:<\/p>\n<ol>\n<li>\n<p><strong>Veri \u00d6n \u0130\u015fleme<\/strong>: Bu a\u015famada kullan\u0131c\u0131-\u00f6\u011fe etkile\u015fimi verileri ve \u00f6\u011fe \u00f6zellikleri toplan\u0131r ve i\u015flenir. \u0130\u015fbirlik\u00e7i filtreleme y\u00f6ntemleri tipik olarak kullan\u0131c\u0131 \u00f6\u011fesi matrisleri olu\u015fturmay\u0131 i\u00e7erirken i\u00e7erik tabanl\u0131 filtreleme, \u00f6\u011fe niteliklerinden \u00f6zellik \u00e7\u0131karmay\u0131 i\u00e7erir.<\/p>\n<\/li>\n<li>\n<p><strong>Kombinasyon Stratejisi<\/strong>: Kombinasyon stratejisi Hibrit \u00f6neri sisteminin kalbidir. Farkl\u0131 \u00f6neri yakla\u015f\u0131mlar\u0131n\u0131 birle\u015ftirmenin birka\u00e7 yolu vard\u0131r:<\/p>\n<ul>\n<li>A\u011f\u0131rl\u0131kl\u0131 Hibrit: Farkl\u0131 \u00f6neri tekniklerine a\u011f\u0131rl\u0131klar\u0131n atanmas\u0131 ve \u00e7\u0131kt\u0131lar\u0131n\u0131n toplanmas\u0131.<\/li>\n<li>Hibrit Ge\u00e7i\u015f: Belirli ko\u015fullara veya kullan\u0131c\u0131 tercihlerine g\u00f6re \u00f6neri teknikleri aras\u0131nda ge\u00e7i\u015f yapmak.<\/li>\n<li>\u00d6zellik Kombinasyonu: \u0130\u015fbirli\u011fine dayal\u0131 ve i\u00e7erik tabanl\u0131 \u00f6zelliklerin birle\u015ftirilmesi ve bunlar\u0131n tek bir model i\u00e7in girdi olarak kullan\u0131lmas\u0131.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>Hibrit Tavsiye Sistemlerinin Temel \u00d6zellikleri<\/h2>\n<p>Hibrit \u00f6neri sistemlerini di\u011ferlerinden ay\u0131ran temel \u00f6zellikler \u015funlard\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Geli\u015ftirilmi\u015f \u00d6neri Do\u011frulu\u011fu<\/strong>: Hibrit sistemler, birden fazla tekni\u011fi birle\u015ftirerek bireysel y\u00f6ntemlerin s\u0131n\u0131rlamalar\u0131n\u0131n \u00fcstesinden gelebilir ve daha do\u011fru ve ilgili \u00f6neriler sa\u011flayabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Artan \u00c7e\u015fitlilik<\/strong>: Hibrit sistemler, farkl\u0131 kullan\u0131c\u0131 tercihlerine ve ilgi alanlar\u0131na hitap eden daha \u00e7e\u015fitli \u00f6neriler sunma e\u011filimindedir.<\/p>\n<\/li>\n<li>\n<p><strong>Sa\u011flaml\u0131k<\/strong>: Bu sistemler, tekil yakla\u015f\u0131mlara k\u0131yasla veri seyrekli\u011fi ve so\u011fuk ba\u015flang\u0131\u00e7 sorunlar\u0131na kar\u015f\u0131 daha dayan\u0131kl\u0131d\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>\u00d6zelle\u015ftirilebilirlik<\/strong>: Hibrit sistemlerin esnekli\u011fi, geli\u015ftiricilerin \u00f6neri s\u00fcrecini belirli kullan\u0131m senaryolar\u0131na g\u00f6re ayarlamas\u0131na ve uyarlamas\u0131na olanak tan\u0131r.<\/p>\n<\/li>\n<\/ol>\n<h2>Hibrit Tavsiye Sistemi T\u00fcrleri<\/h2>\n<p>Hibrit \u00f6neri sistemleri, kombinasyon stratejilerine ve ilgili tekniklere g\u00f6re s\u0131n\u0131fland\u0131r\u0131labilir. \u0130\u015fte baz\u0131 yayg\u0131n t\u00fcrler:<\/p>\n<table>\n<thead>\n<tr>\n<th>Tip<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A\u011f\u0131rl\u0131kl\u0131 Hibrit<\/td>\n<td>\u00d6nerileri a\u011f\u0131rl\u0131kl\u0131 ortalamalarla birle\u015ftirir.<\/td>\n<\/tr>\n<tr>\n<td>Hibrit Ge\u00e7i\u015f<\/td>\n<td>Kriterlere g\u00f6re farkl\u0131 teknikler aras\u0131nda ge\u00e7i\u015f yapar.<\/td>\n<\/tr>\n<tr>\n<td>\u00d6zellik Kombinasyonu<\/td>\n<td>Tek bir model i\u00e7in CF ve CBF&#039;deki \u00f6zellikleri birle\u015ftirir.<\/td>\n<\/tr>\n<tr>\n<td>Kademeli Hibrit<\/td>\n<td>Bir tavsiyecinin \u00e7\u0131kt\u0131s\u0131n\u0131 bir ba\u015fkas\u0131 i\u00e7in girdi olarak kullan\u0131r.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Kullan\u0131mlar, Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<h3>Hibrit Tavsiye Sistemlerinin Kullan\u0131m Alanlar\u0131<\/h3>\n<p>Hibrit \u00f6neri sistemleri a\u015fa\u011f\u0131dakiler de dahil olmak \u00fczere \u00e7e\u015fitli alanlarda uygulamalar bulur:<\/p>\n<ul>\n<li>E-ticaret: Kullan\u0131c\u0131 davran\u0131\u015f\u0131na ve \u00fcr\u00fcn \u00f6zelliklerine g\u00f6re \u00fcr\u00fcn \u00f6nerilerinin geli\u015ftirilmesi.<\/li>\n<li>E\u011flence: Kullan\u0131c\u0131 tercihlerine ve i\u00e7erik \u00f6zelliklerine g\u00f6re film, m\u00fczik veya TV \u015fovu \u00f6nermek.<\/li>\n<li>Sosyal Medya: Kullan\u0131c\u0131lara ilgili g\u00f6nderileri, ba\u011flant\u0131lar\u0131 veya gruplar\u0131 \u00f6nermek.<\/li>\n<li>\u0130\u00e7erik Ak\u0131\u015f\u0131: YouTube ve Netflix gibi platformlardaki kullan\u0131c\u0131lar i\u00e7in i\u00e7erik ke\u015ffini ki\u015fiselle\u015ftirme.<\/li>\n<\/ul>\n<h3>Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h3>\n<p>Hibrit \u00f6neri sistemleri a\u015fa\u011f\u0131daki gibi baz\u0131 zorluklarla kar\u015f\u0131 kar\u015f\u0131yad\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Veri Entegrasyonu<\/strong>: Farkl\u0131 kaynaklardan gelen verileri birle\u015ftirmek karma\u015f\u0131k olabilir ve verilerin normalle\u015ftirilmesini ve \u00f6n i\u015flenmesini gerektirebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Algoritma Se\u00e7imi<\/strong>: Belirli bir uygulama i\u00e7in en uygun kombinasyon stratejisini ve algoritmalar\u0131n\u0131 se\u00e7mek zor olabilir.<\/p>\n<\/li>\n<li>\n<p><strong>So\u011fuk Ba\u015flatma Sorunu<\/strong>: Yeni kullan\u0131c\u0131larla veya s\u0131n\u0131rl\u0131 veri ge\u00e7mi\u015fine sahip \u00f6\u011felerle u\u011fra\u015fmak yenilik\u00e7i \u00e7\u00f6z\u00fcmler gerektirir.<\/p>\n<\/li>\n<\/ol>\n<p>Bu zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in ara\u015ft\u0131rmac\u0131lar ve geli\u015ftiriciler \u00f6neri algoritmalar\u0131n\u0131n s\u00fcrekli iyile\u015ftirilmesine, makine \u00f6\u011frenimi tekniklerinin kullan\u0131lmas\u0131na ve b\u00fcy\u00fck verilerden yararlan\u0131lmas\u0131na odaklan\u0131yor.<\/p>\n<h2>Ana \u00d6zellikler ve Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<p>Hibrit \u00f6neri sistemlerinin benzer \u00f6neri teknikleriyle kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u00d6zellik<\/th>\n<th>\u0130\u015fbirlik\u00e7i Filtreleme<\/th>\n<th>\u0130\u00e7erik Tabanl\u0131 Filtreleme<\/th>\n<th>Hibrit \u00d6nericiler<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Veri Ba\u011f\u0131ml\u0131l\u0131\u011f\u0131<\/td>\n<td>Kullan\u0131c\u0131 \u00f6\u011fesi etkile\u015fimleri gerektirir<\/td>\n<td>\u00d6\u011fe \u00f6zelliklerine ve kullan\u0131c\u0131 tercihlerine ba\u011fl\u0131d\u0131r<\/td>\n<td>Hem kullan\u0131c\u0131 \u00f6\u011fesi etkile\u015fimlerini hem de \u00f6\u011fe niteliklerini birle\u015ftirir<\/td>\n<\/tr>\n<tr>\n<td>\u00d6neri Do\u011frulu\u011fu<\/td>\n<td>\u201cSo\u011fuk ba\u015flatma\u201d sorunu ya\u015fayabilir<\/td>\n<td>\u00c7e\u015fitli \u00f6neriler sunma konusunda s\u0131n\u0131rl\u0131<\/td>\n<td>Kombinasyon nedeniyle geli\u015fmi\u015f do\u011fruluk ve \u00e7e\u015fitlilik<\/td>\n<\/tr>\n<tr>\n<td>Yeni \u00d6\u011feleri\/Kullan\u0131c\u0131lar\u0131 Ele Alma<\/td>\n<td>Yeni kullan\u0131c\u0131lar i\u00e7in zorlu<\/td>\n<td>Yeni \u00f6\u011feleri etkili bir \u015fekilde ele al\u0131r<\/td>\n<td>Yeni \u00f6\u011feler\/kullan\u0131c\u0131lar i\u00e7in makul \u00f6neriler sunar<\/td>\n<\/tr>\n<tr>\n<td>Ki\u015fiselle\u015ftirme<\/td>\n<td>Kullan\u0131c\u0131 davran\u0131\u015f\u0131na g\u00f6re ki\u015fiselle\u015ftirilmi\u015f \u00f6neriler sunar<\/td>\n<td>\u00d6nerileri \u00f6\u011fe \u00f6zelliklerine g\u00f6re ki\u015fiselle\u015ftirir<\/td>\n<td>Kullan\u0131c\u0131 ve i\u00e7erik bilgilerini birle\u015ftirerek geli\u015fmi\u015f ki\u015fiselle\u015ftirme sunar<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Perspektifler ve Gelece\u011fin Teknolojileri<\/h2>\n<p>Hibrit \u00f6neri sistemlerinin gelece\u011fi \u00fcmit vericidir. Teknoloji geli\u015ftik\u00e7e bu sistemlerin daha karma\u015f\u0131k hale gelmesi ve a\u015fa\u011f\u0131daki gibi en ileri teknikleri kullanmas\u0131 beklenmektedir:<\/p>\n<ul>\n<li><strong>Derin \u00d6\u011frenme<\/strong>: Daha iyi \u00f6zellik temsilleri ve karma\u015f\u0131k kullan\u0131c\u0131-\u00f6\u011fe etkile\u015fimlerinin modellenmesi i\u00e7in sinir a\u011flar\u0131n\u0131n kullan\u0131lmas\u0131.<\/li>\n<li><strong>Ba\u011flam fark\u0131ndal\u0131\u011f\u0131<\/strong>: Daha do\u011fru \u00f6neriler i\u00e7in zaman, konum ve kullan\u0131c\u0131 davran\u0131\u015f\u0131 gibi ba\u011flamsal bilgilerin dahil edilmesi.<\/li>\n<li><strong>A\u00e7\u0131klanabilirlik<\/strong>: Kullan\u0131c\u0131 g\u00fcvenini ve memnuniyetini art\u0131racak \u00f6neriler i\u00e7in \u015feffaf a\u00e7\u0131klamalar sunmak.<\/li>\n<\/ul>\n<h2>Proxy Sunucular ve Hibrit \u00d6neri Sistemleri<\/h2>\n<p>OneProxy (oneproxy.pro) taraf\u0131ndan sa\u011flananlar gibi proxy sunucular\u0131, Hibrit \u00f6neri sistemlerinin performans\u0131n\u0131 ve gizlili\u011fini art\u0131rmada hayati bir rol oynar. Proxy sunucular\u0131, istemciler ve sunucular aras\u0131nda arac\u0131 g\u00f6revi g\u00f6rerek veri alma verimlili\u011fini art\u0131r\u0131r ve yan\u0131t s\u00fcrelerini azalt\u0131r. Kullan\u0131c\u0131lar Hibrit \u00f6neri sistemleriyle proxy sunucular arac\u0131l\u0131\u011f\u0131yla etkile\u015fime girdi\u011finde, proxy sunucu kullan\u0131c\u0131n\u0131n IP adresini ve konumunu olas\u0131 izlemelerden gizledi\u011finden geli\u015fmi\u015f gizlilik ve g\u00fcvenlikten de yararlanabilirler.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Hibrit \u00f6neri sistemleri hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 incelemeyi d\u00fc\u015f\u00fcn\u00fcn:<\/p>\n<ol>\n<li><a href=\"https:\/\/towardsdatascience.com\/hybrid-recommender-systems-82c40e00a78a\" target=\"_new\" rel=\"noopener nofollow\">Veri Bilimine Do\u011fru \u2013 Hibrit \u00d6neri Sistemleri<\/a><\/li>\n<li><a href=\"https:\/\/medium.com\/mlearning-ai\/hybrid-recommender-systems-6e11c018be8d\" target=\"_new\" rel=\"noopener nofollow\">Orta \u2013 Hibrit \u00d6neri Sistemlerini Anlamak<\/a><\/li>\n<li><a href=\"https:\/\/link.springer.com\/referenceworkentry\/10.1007%2F978-0-387-85820-3_64\" target=\"_new\" rel=\"noopener nofollow\">Springer \u2013 Tavsiye Sistemleri El Kitab\u0131<\/a><\/li>\n<\/ol>\n<p>Sonu\u00e7 olarak Hibrit \u00f6neri sistemleri, kullan\u0131c\u0131lara ki\u015fiselle\u015ftirilmi\u015f \u00f6nerilerin sunulma bi\u00e7iminde devrim yaratt\u0131. \u0130\u015fbirli\u011fine dayal\u0131 filtreleme ile i\u00e7erik tabanl\u0131 filtrelemenin harmanlanmas\u0131yla bu sistemler daha do\u011fru, \u00e7e\u015fitli ve uyarlanabilir hale geldi ve \u00e7e\u015fitli alanlarda kullan\u0131c\u0131 deneyimlerinin iyile\u015ftirilmesine yol a\u00e7t\u0131. Teknoloji ilerledik\u00e7e, gelecek Hibrit \u00f6neri sistemleri i\u00e7in daha da heyecan verici olanaklar sunacak ve \u00f6neri s\u00fcre\u00e7lerinde daha fazla devrim yaratma potansiyeline sahip olacak. Ve bu dinamik ortamda, OneProxy taraf\u0131ndan sunulan proxy sunucular\u0131n entegrasyonu, \u00f6neri ekosistemine ekstra bir verimlilik ve g\u00fcvenlik katman\u0131 ekleyerek hem kullan\u0131c\u0131lara hem de hizmet sa\u011flay\u0131c\u0131lara fayda sa\u011flar.<\/p>","protected":false},"featured_media":468581,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477520","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Hybrid Recommender Systems: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What are Hybrid Recommender Systems?","answer":"<p>Hybrid Recommender Systems represent an advanced approach to providing personalized recommendations by combining the strengths of multiple recommendation techniques. These systems use collaborative filtering, content-based filtering, and sometimes additional methods to achieve more accurate and diverse recommendations.<\/p>"},{"question":"How do Hybrid Recommender Systems work?","answer":"<p>Hybrid Recommender Systems have two main components. First, they preprocess user-item interaction data and item attributes. Then, they employ a combination strategy, such as weighted hybrid or feature combination, to aggregate the outputs of different recommendation techniques.<\/p>"},{"question":"What are the key features of Hybrid Recommender Systems?","answer":"<p>The key features of Hybrid Recommender Systems include improved recommendation accuracy, increased diversity in suggestions, robustness to data sparsity and cold-start problems, and customizability to fine-tune recommendations for specific use cases.<\/p>"},{"question":"What types of Hybrid Recommender Systems exist?","answer":"<p>Hybrid Recommender Systems can be categorized based on their combination strategies and techniques. Common types include weighted hybrid, switching hybrid, feature combination, and cascade hybrid.<\/p>"},{"question":"Where are Hybrid Recommender Systems used?","answer":"<p>Hybrid Recommender Systems find applications in various domains, including e-commerce, entertainment, social media, and content streaming platforms, to enhance user experience and boost engagement.<\/p>"},{"question":"What challenges do Hybrid Recommender Systems face?","answer":"<p>Hybrid Recommender Systems may encounter challenges in data integration, algorithm selection, and the cold-start problem for new users or items. Researchers and developers continuously work to address these challenges.<\/p>"},{"question":"What makes Hybrid Recommender Systems different from other recommendation techniques?","answer":"<p>Hybrid Recommender Systems differ from collaborative filtering and content-based filtering by combining both user-item interactions and item attributes, resulting in enhanced accuracy, diversity, and personalization.<\/p>"},{"question":"What is the future of Hybrid Recommender Systems?","answer":"<p>The future of Hybrid Recommender Systems looks promising with advancements in deep learning, context-awareness, and explainability, which will lead to even more sophisticated and personalized recommendations.<\/p>"},{"question":"How do proxy servers relate to Hybrid Recommender Systems?","answer":"<p>Proxy servers, like OneProxy, play a crucial role in enhancing the performance and privacy of Hybrid Recommender Systems. They act as intermediaries, improving data retrieval efficiency and user privacy while interacting with these systems.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477520\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468581"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=477520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}