= Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1: C\u00f4ng ngh\u1ec7 ti\u00ean tri cho th\u1ebf gi\u1edbi t\u00fac c\u1ea7u =<\/p>\n
Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 \u0111ang tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 kh\u00f4ng th\u1ec3 thi\u1ebfu trong th\u1ebf gi\u1edbi t\u00fac c\u1ea7u hi\u1ec7n \u0111\u1ea1i. T\u1eeb c\u00e1c gi\u1ea3i \u0111\u1ea5u qu\u1ed1c n\u1ed9i \u0111\u1ebfn World Cup 2026, nh\u1eefng h\u1ec7 th\u1ed1ng AI n\u00e0y ph\u00e2n t\u00edch h\u00e0ng tri\u1ec7u d\u1eef li\u1ec7u \u0111\u1ec3 \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c \u0111\u00e1ng kinh ng\u1ea1c. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd kh\u00e1m ph\u00e1 c\u00e1ch c\u00f4ng ngh\u1ec7 si\u00eau m\u00e1y t\u00ednh \u0111ang thay \u0111\u1ed5i c\u00e1ch con ng\u01b0\u1eddi nh\u00ecn nh\u1eadn b\u00f3ng \u0111\u00e1.<\/p>\n
== Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 l\u00e0 g\u00ec? ==<\/p>\n
Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 l\u00e0 h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd, s\u1eed d\u1ee5ng thu\u1eadt to\u00e1n tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 machine learning \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb h\u00e0ng ngh\u00ecn tr\u1eadn \u0111\u1ea5u. C\u00e1c h\u1ec7 th\u1ed1ng n\u00e0y x\u1eed l\u00fd th\u00f4ng tin v\u1ec1 phong \u0111\u1ed9 c\u1ea7u th\u1ee7, l\u1ecbch s\u1eed \u0111\u1ed1i \u0111\u1ea7u, \u0111i\u1ec1u ki\u1ec7n s\u00e2n b\u00e3i, v\u00e0 h\u00e0ng tr\u0103m y\u1ebfu t\u1ed1 kh\u00e1c \u0111\u1ec3 \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n v\u1ec1 k\u1ebft qu\u1ea3 tr\u1eadn \u0111\u1ea5u. Nh\u1eefng si\u00eau m\u00e1y t\u00ednh n\u00e0y c\u00f3 kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n h\u00e0ng t\u1ef7 ph\u00e9p t\u00ednh m\u1ed7i gi\u00e2y, v\u01b0\u1ee3t xa kh\u1ea3 n\u0103ng c\u1ee7a n\u00e3o ng\u01b0\u1eddi.<\/p>\n
== L\u1ecbch s\u1eed ph\u00e1t tri\u1ec3n c\u1ee7a d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 b\u1eb1ng m\u00e1y t\u00ednh ==<\/p>\n
Ng\u00e0nh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 b\u1eb1ng c\u00f4ng ngh\u1ec7 b\u1eaft \u0111\u1ea7u t\u1eeb nh\u1eefng n\u0103m 1950 v\u1edbi c\u00e1c m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea \u0111\u01a1n gi\u1ea3n. \u0110\u1ebfn th\u1eadp ni\u00ean 1990, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u b\u1eaft \u0111\u1ea7u s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh Poisson \u0111\u1ec3 \u01b0\u1edbc t\u00ednh s\u1ed1 b\u00e0n th\u1eafng. Cu\u1ed9c c\u00e1ch m\u1ea1ng th\u1ef1c s\u1ef1 di\u1ec5n ra v\u00e0o th\u1eadp ni\u00ean 2010 khi big data v\u00e0 deep learning \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i. Ng\u00e0y nay, c\u00e1c t\u1eadp \u0111o\u00e0n c\u00f4ng ngh\u1ec7 h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi \u0111\u1ec1u c\u00f3 b\u1ed9 ph\u1eadn nghi\u00ean c\u1ee9u ri\u00eang v\u1ec1 d\u1ef1 \u0111o\u00e1n th\u1ec3 thao.<\/p>\n
== C\u00e1c c\u00f4ng ngh\u1ec7 c\u1ed1t l\u00f5i trong si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 ==<\/p>\n
Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 s\u1eed d\u1ee5ng nhi\u1ec1u c\u00f4ng ngh\u1ec7 ti\u00ean ti\u1ebfn. Tr\u01b0\u1edbc h\u1ebft l\u00e0 machine learning v\u1edbi c\u00e1c thu\u1eadt to\u00e1n nh\u01b0 neural network v\u00e0 random forest. Ti\u1ebfp \u0111\u1ebfn l\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean \u0111\u1ec3 ph\u00e2n t\u00edch tin t\u1ee9c v\u00e0 t\u00e2m l\u00fd c\u1ea7u th\u1ee7. H\u1ec7 th\u1ed1ng c\u0169ng t\u00edch h\u1ee3p computer vision \u0111\u1ec3 nh\u1eadn di\u1ec7n m\u1eabu h\u00ecnh ch\u01a1i b\u00f3ng. Big data infrastructure cho ph\u00e9p l\u01b0u tr\u1eef v\u00e0 x\u1eed l\u00fd petabyte d\u1eef li\u1ec7u m\u1ed7i ng\u00e0y.<\/p>\n
== Top c\u00e1c si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 n\u1ed5i ti\u1ebfng ==<\/p>\n
Nhi\u1ec1u t\u1ed5 ch\u1ee9c \u0111\u00e3 x\u00e2y d\u1ef1ng si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 \u1ea5n t\u01b0\u1ee3ng. Goldman Sachs s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh kinh t\u1ebf l\u01b0\u1ee3ng \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n k\u1ebft qu\u1ea3 World Cup 2018 v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c cao. Swiss\u8db3\u7403 Lab ph\u00e1t tri\u1ec3n h\u1ec7 th\u1ed1ng ph\u00e2n t\u00edch k\u1ef9 thu\u1eadt s\u1ed1 cho c\u00e1c \u0111\u1ed9i tuy\u1ec3n qu\u1ed1c gia. Google DeepMind th\u1eed nghi\u1ec7m AI ph\u00e2n t\u00edch l\u1ed1i ch\u01a1i t\u1ef1 \u0111\u1ed9ng. C\u00e1c c\u00f4ng ty c\u00e1 c\u01b0\u1ee3c l\u1edbn nh\u01b0 Bet365 v\u00e0 Pinnacle c\u0169ng \u0111\u1ea7u t\u01b0 m\u1ea1nh v\u00e0o c\u00f4ng ngh\u1ec7 n\u00e0y.<\/p>\n
== Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n World Cup 2026 nh\u01b0 th\u1ebf n\u00e0o? ==<\/p>\n
World Cup 2026 s\u1ebd l\u00e0 s\u1ef1 ki\u1ec7n l\u1edbn nh\u1ea5t v\u1edbi 48 \u0111\u1ed9i tuy\u1ec3n tham d\u1ef1. Si\u00eau m\u00e1y t\u00ednh s\u1ebd ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb v\u00f2ng lo\u1ea1i, bao g\u1ed3m h\u01a1n 900 tr\u1eadn \u0111\u1ea5u tr\u00ean to\u00e0n c\u1ea7u. H\u1ec7 th\u1ed1ng \u0111\u00e1nh gi\u00e1 s\u1ee9c m\u1ea1nh t\u1eebng \u0111\u1ed9i d\u1ef1a tr\u00ean ELO rating \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt li\u00ean t\u1ee5c. Y\u1ebfu t\u1ed1 s\u00e2n nh\u00e0 s\u1ebd \u0111\u01b0\u1ee3c t\u00ednh to\u00e1n \u0111\u1eb7c bi\u1ec7t khi gi\u1ea3i \u0111\u1ea5u di\u1ec5n ra t\u1ea1i M\u1ef9, Canada v\u00e0 Mexico. D\u1ef1 \u0111o\u00e1n s\u1ebd bao g\u1ed3m c\u1ea3 x\u00e1c su\u1ea5t v\u00f4 \u0111\u1ecbch c\u1ee7a t\u1eebng \u0111\u1ed9i tuy\u1ec3n.<\/p>\n
== Ph\u01b0\u01a1ng ph\u00e1p x\u00e1c su\u1ea5t trong d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 ==<\/p>\n
Si\u00eau m\u00e1y t\u00ednh s\u1eed d\u1ee5ng nhi\u1ec1u ph\u01b0\u01a1ng ph\u00e1p x\u00e1c su\u1ea5t ph\u1ee9c t\u1ea1p. M\u00f4 h\u00ecnh Bradley-Terry \u01b0\u1edbc t\u00ednh x\u00e1c su\u1ea5t th\u1eafng d\u1ef1a tr\u00ean s\u1ee9c m\u1ea1nh t\u01b0\u01a1ng \u0111\u1ed1i c\u1ee7a hai \u0111\u1ed9i. M\u00f4 h\u00ecnh Poisson x\u00e1c \u0111\u1ecbnh ph\u00e2n b\u1ed1 s\u1ed1 b\u00e0n th\u1eafng c\u00f3 th\u1ec3 x\u1ea3y ra. Monte Carlo simulation ch\u1ea1y h\u00e0ng tri\u1ec7u k\u1ecbch b\u1ea3n \u0111\u1ec3 \u0111\u01b0a ra ph\u1ea1m vi d\u1ef1 \u0111o\u00e1n. Bayesian inference cho ph\u00e9p c\u1eadp nh\u1eadt d\u1ef1 \u0111o\u00e1n khi c\u00f3 th\u00f4ng tin m\u1edbi, ch\u1eb3ng h\u1ea1n nh\u01b0 ch\u1ea5n th\u01b0\u01a1ng c\u1ea7u th\u1ee7 tr\u01b0\u1edbc tr\u1eadn \u0111\u1ea5u.<\/p>\n
== D\u1eef li\u1ec7u n\u00e0o \u0111\u01b0\u1ee3c si\u00eau m\u00e1y t\u00ednh s\u1eed d\u1ee5ng? ==<\/p>\n
Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n. D\u1eef li\u1ec7u tr\u1eadn \u0111\u1ea5u bao g\u1ed3m t\u1ef7 l\u1ec7 ki\u1ec3m so\u00e1t b\u00f3ng, s\u1ed1 c\u00fa s\u00fat, \u0111\u1ed9 ch\u00ednh x\u00e1c chuy\u1ec1n b\u00f3ng. D\u1eef li\u1ec7u c\u1ea7u th\u1ee7 ghi nh\u1eadn v\u1eadn t\u1ed1c, qu\u00e3ng \u0111\u01b0\u1eddng ch\u1ea1y, nh\u1ecbp tim khi thi \u0111\u1ea5u. D\u1eef li\u1ec7u ngo\u00e0i s\u00e2n c\u1ecf bao g\u1ed3m \u0111i\u1ec1u ki\u1ec7n th\u1eddi ti\u1ebft, t\u00ecnh h\u00ecnh ch\u1ea5n th\u01b0\u01a1ng, c\u0103ng th\u1eb3ng t\u00e2m l\u00fd. C\u00e1c h\u1ec7 th\u1ed1ng c\u00f2n ph\u00e2n t\u00edch m\u1ea1ng x\u00e3 h\u1ed9i \u0111\u1ec3 \u0111o l\u01b0\u1eddng t\u00e2m tr\u1ea1ng \u0111\u1ed9i b\u00f3ng.<\/p>\n
== Vai tr\u00f2 c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o trong d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 ==<\/p>\n
Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u00e3 c\u00e1ch m\u1ea1ng h\u00f3a d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 v\u1edbi kh\u1ea3 n\u0103ng nh\u1eadn di\u1ec7n m\u1eabu ph\u1ee9c t\u1ea1p. Deep learning c\u00f3 th\u1ec3 ph\u00e1t hi\u1ec7n xu h\u01b0\u1edbng m\u00e0 con ng\u01b0\u1eddi kh\u00f4ng th\u1ec3 nh\u1eadn ra, ch\u1eb3ng h\u1ea1n nh\u01b0 m\u1ed1i li\u00ean h\u1ec7 gi\u1eefa gi\u1edd thi \u0111\u1ea5u v\u00e0 phong \u0111\u1ed9. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp x\u1eed l\u00fd d\u1eef li\u1ec7u video \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 l\u1ed1i ch\u01a1i \u0111\u1ed1i ph\u01b0\u01a1ng. H\u1ec7 th\u1ed1ng h\u1ecdc t\u0103ng c\u01b0\u1eddng li\u00ean t\u1ee5c c\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c qua m\u1ed7i tr\u1eadn \u0111\u1ea5u. AI c\u00f2n c\u00f3 kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n ch\u1ea5n th\u01b0\u01a1ng d\u1ef1a tr\u00ean t\u1ea3i tr\u1ecdng t\u1eadp luy\u1ec7n.<\/p>\n
== \u0110\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 ==<\/p>\n
C\u00e1c nghi\u00ean c\u1ee9u cho th\u1ea5y si\u00eau m\u00e1y t\u00ednh \u0111\u1ea1t \u0111\u1ed9 ch\u00ednh x\u00e1c kho\u1ea3ng 55-65% cho k\u1ebft qu\u1ea3 th\u1eafng h\u00f2a thua. Con s\u1ed1 n\u00e0y cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi d\u1ef1 \u0111o\u00e1n ng\u1eabu nhi\u00ean 33%. Tuy nhi\u00ean, b\u00f3ng \u0111\u00e1 v\u1eabn l\u00e0 m\u00f4n th\u1ec3 thao kh\u00f3 d\u1ef1 \u0111o\u00e1n nh\u1ea5t do y\u1ebfu t\u1ed1 ng\u1eabu nhi\u00ean. X\u00e1c su\u1ea5t ch\u00ednh x\u00e1c ph\u1ee5 thu\u1ed9c v\u00e0o lo\u1ea1i k\u00e8o, gi\u1ea3i \u0111\u1ea5u, v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u s\u1eb5n c\u00f3. C\u00e1c chuy\u00ean gia cho r\u1eb1ng 70% l\u00e0 ng\u01b0\u1ee1ng tr\u1ea7n cho d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1.<\/p>\n
== \u1ee8ng d\u1ee5ng si\u00eau m\u00e1y t\u00ednh trong c\u00e1 c\u01b0\u1ee3c b\u00f3ng \u0111\u00e1 ==<\/p>\n
Ng\u00e0nh c\u00e1 c\u01b0\u1ee3c b\u00f3ng \u0111\u00e1 \u1ee9ng d\u1ee5ng si\u00eau m\u00e1y t\u00ednh \u0111\u1ec3 x\u00e2y d\u1ef1ng t\u1ef7 l\u1ec7 k\u00e8o ch\u00ednh x\u00e1c. C\u00e1c c\u00f4ng ty c\u00e1 c\u01b0\u1ee3c s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh proprietary \u0111\u1ec3 ph\u00e1t hi\u1ec7n sai l\u1ec7ch trong th\u1ecb tr\u01b0\u1eddng. Si\u00eau m\u00e1y t\u00ednh gi\u00fap qu\u1ea3n l\u00fd r\u1ee7i ro b\u1eb1ng c\u00e1ch \u0111i\u1ec1u ch\u1ec9nh m\u1ee9c c\u01b0\u1ee3c ph\u00f9 h\u1ee3p. Arb trading s\u1eed d\u1ee5ng AI \u0111\u1ec3 t\u00ecm ki\u1ebfm ch\u00eanh l\u1ec7ch t\u1ef7 l\u1ec7 gi\u1eefa c\u00e1c nh\u00e0 c\u00e1i. Tuy nhi\u00ean, \u0111i\u1ec1u n\u00e0y c\u0169ng t\u1ea1o ra th\u00e1ch th\u1ee9c v\u1ec1 t\u00ednh c\u00f4ng b\u1eb1ng trong ng\u00e0nh.<\/p>\n
== Si\u00eau m\u00e1y t\u00ednh v\u00e0 chi\u1ebfn l\u01b0\u1ee3c \u0111\u1ed9i b\u00f3ng ==<\/p>\n
C\u00e1c \u0111\u1ed9i b\u00f3ng h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi s\u1eed d\u1ee5ng si\u00eau m\u00e1y t\u00ednh \u0111\u1ec3 x\u00e2y d\u1ef1ng chi\u1ebfn thu\u1eadt. H\u1ec7 th\u1ed1ng ph\u00e2n t\u00edch \u0111\u1ed1i th\u1ee7 gi\u00fap hu\u1ea5n luy\u1ec7n vi\u00ean hi\u1ec3u r\u00f5 \u0111i\u1ec3m m\u1ea1nh y\u1ebfu \u0111\u1ed1i ph\u01b0\u01a1ng. D\u1eef li\u1ec7u th\u1ed1ng k\u00ea cho ph\u00e9p t\u1ed1i \u01b0u h\u00f3a \u0111\u1ed9i h\u00ecnh v\u00e0 substitution. Sports science s\u1eed d\u1ee5ng AI \u0111\u1ec3 l\u00ean k\u1ebf ho\u1ea1ch t\u1eadp luy\u1ec7n v\u00e0 ph\u1ee5c h\u1ed3i c\u1ea7u th\u1ee7. Manchester City, Liverpool \u0111\u1ec1u c\u00f3 b\u1ed9 ph\u1eadn ph\u00e2n t\u00edch d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn.<\/p>\n
== Gi\u1edbi h\u1ea1n c\u1ee7a si\u00eau m\u00e1y t\u00ednh trong d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 ==<\/p>\n
B\u1ea5t ch\u1ea5p ti\u1ebfn b\u1ed9 c\u00f4ng ngh\u1ec7, si\u00eau m\u00e1y t\u00ednh v\u1eabn c\u00f3 nhi\u1ec1u gi\u1edbi h\u1ea1n. Y\u1ebfu t\u1ed1 con ng\u01b0\u1eddi nh\u01b0 tinh th\u1ea7n \u0111\u1ed3ng \u0111\u1ed9i, \u00e1p l\u1ef1c tr\u1eadn \u0111\u1ea5u r\u1ea5t kh\u00f3 l\u01b0\u1ee3ng h\u00f3a. S\u1ef1 ki\u1ec7<\/p>\n","protected":false},"excerpt":{"rendered":"
= Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1: C\u00f4ng ngh\u1ec7 ti\u00ean tri cho th\u1ebf gi\u1edbi t\u00fac c\u1ea7u = Si\u00eau m\u00e1y t\u00ednh d\u1ef1 \u0111o\u00e1n b\u00f3ng \u0111\u00e1 \u0111ang tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-517","post","type-post","status-publish","format-standard","hentry","category-thu-hang-cua-ngoai-hang-anh"],"_links":{"self":[{"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/posts\/517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/comments?post=517"}],"version-history":[{"count":0,"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/posts\/517\/revisions"}],"wp:attachment":[{"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/media?parent=517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/categories?post=517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/klive-sport.com\/index.php\/wp-json\/wp\/v2\/tags?post=517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}