{"id":190481,"date":"2023-02-15T17:00:00","date_gmt":"2023-02-15T17:00:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=190481"},"modified":"2023-02-15T14:51:04","modified_gmt":"2023-02-15T14:51:04","slug":"comment-fonctionne-lalgorithme-de-recommandation-de-netflix","status":"publish","type":"post","link":"https:\/\/datascientest.com\/comment-fonctionne-lalgorithme-de-recommandation-de-netflix","title":{"rendered":"Comment fonctionne l\u2019algorithme de recommandation de Netflix ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"190481\" class=\"elementor elementor-190481\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-54cd4c7 e-flex e-con-boxed e-con\" data-id=\"54cd4c7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c7966f elementor-widget elementor-widget-heading\" data-id=\"5c7966f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Arriv\u00e9 en France en 2014, Netflix est l\u2019un des services de streaming les plus appr\u00e9ci\u00e9s des fran\u00e7ais. Pour s\u00e9duire ses abonn\u00e9s, le service de streaming repousse constamment les limites de son syst\u00e8me de recommandation avec de nouvelles technologies, notamment la Data Science. Une r\u00e9cente \u00e9tude montre le fonctionnement de l\u2019algorithme de ce syst\u00e8me et le raisonnement qui le pousse \u00e0 proposer un contenu plut\u00f4t qu\u2019un autre.\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-21cfe80 e-flex e-con-boxed e-con\" data-id=\"21cfe80\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f74248 elementor-widget elementor-widget-heading\" data-id=\"1f74248\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quelles sont les technologies utilis\u00e9es par Netflix ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c438406 elementor-widget elementor-widget-text-editor\" data-id=\"c438406\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Depuis vingt ans, Netflix travaille constamment \u00e0 l&rsquo;am\u00e9lioration de son service. Afin d&rsquo;offrir aux clients la meilleure exp\u00e9rience, Netflix utilise <\/span><a href=\"https:\/\/datascientest.com\/intelligence-artificielle-definition\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">le potentiel de l&rsquo;intelligence artificielle<\/span><\/a><span style=\"font-weight: 400;\"> dans son syst\u00e8me de suggestion.<\/span><\/p><p><span style=\"font-weight: 400;\">L\u2019int\u00e9gration de l\u2019IA dans le syst\u00e8me lui permet d\u2019<\/span><b>analyser les flux multim\u00e9dia<\/b><span style=\"font-weight: 400;\"> de chaque utilisateur. <\/span><a href=\"https:\/\/datascientest.com\/algorithme-tout-savoir\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">L\u2019algorithme de machine learning<\/span><\/a><span style=\"font-weight: 400;\"> va ensuite cataloguer les visionnages de chaque personne afin de <\/span><b>comprendre ses go\u00fbts<\/b><span style=\"font-weight: 400;\">. Le syst\u00e8me de recommandation pourra alors <\/span><b>sugg\u00e9rer des contenus personnalis\u00e9s <\/b><span style=\"font-weight: 400;\">\u00e0 chaque abonn\u00e9.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-23a8a15 elementor-widget elementor-widget-image\" data-id=\"23a8a15\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1-1024x683.jpg\" class=\"attachment-large size-large wp-image-190487\" alt=\"Ecran de suggestion Netflix\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1-1024x683.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1-300x200.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1-768x512.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1-1536x1024.jpg 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/pexels-cottonbro-studio-5082566-1.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85b778d elementor-widget elementor-widget-shortcode\" data-id=\"85b778d\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"archive\" data-elementor-id=\"182524\" class=\"elementor elementor-182524\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d28ad70 elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"d28ad70\" data-element_type=\"container\" id=\"pub\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-df75a27 e-flex e-con-boxed e-con\" data-id=\"df75a27\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1f9f7a63 e-con-full e-flex e-con\" data-id=\"1f9f7a63\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30f75ac7 elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"30f75ac7\" data-element_type=\"widget\" id=\"carriere_data\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS\u00a0!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fc48519 elementor-widget__width-inherit elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"6fc48519\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ? 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elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"f3b0fa7\" data-element_type=\"widget\" id=\"carriere_gratuit\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e00260f elementor-widget__width-inherit elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"e00260f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Assistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI\u2026<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-698c29e elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"698c29e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les 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class=\"elementor-element elementor-element-1e88c9c6 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"1e88c9c6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-724b68ca e-flex e-con-boxed e-con\" data-id=\"724b68ca\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9b069c4 e-con-full e-flex e-con\" data-id=\"9b069c4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-754a6a99 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"754a6a99\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69b675db elementor-widget elementor-widget-heading\" data-id=\"69b675db\" data-element_type=\"widget\" id=\"carriere_data\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bf76cf elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"4bf76cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ?\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3105d638 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3105d638\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tD\u00e9couvrez nos <span style=\"color: #4826dd;\"><strong>formations en Data Science<\/strong><\/span>.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b84b20 elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-button\" data-id=\"8b84b20\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/formations-data\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bbe0475 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"bbe0475\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8a54b0 elementor-widget elementor-widget-heading\" data-id=\"b8a54b0\" data-element_type=\"widget\" id=\"carriere_gratuit\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a537e3 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"1a537e3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tAssistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI &#8230;\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27e9c3ba elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"27e9c3ba\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29576afc elementor-absolute elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"29576afc\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" 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wKkxdYt1Z+nVgfim0+fS94W7WM5ymFW05Oc4ZhdE9Z6yZboBglJdcH2YweKpGcxKMyuPDwtxitmbem9+YRWlK34dfznOO07RynDMK0f710BNa6hYRn6+bWwrdQFGMTMxJMCpIXVq9q\/TrwPzMF31hnrOcppHzMHeEXy1189tzi2pRbn7\/oQNeSVIsYfiml2Z2glFZzBaxkF3miz63d9TOtXjnrbxbc\/bdf9o5PHNqK2zTnlizD4lSNZqDYFQWHxIWsmjFqKkb5hTmcKKdr412urjROrGW94\/mA0+fbG2l+VBpo8tP7p9TBs\/D8Dn4VBeiPrtod+nXgcVcd8NiN7tXNbQ04UQia633jk638s99YyXvqlEExghHTE8bXX4+0kZH2q5xptHsBKNyqBaxsEWXHgytirD3Tu10FxPzRvc+Yt5oWm2FbNqT67ljFMXCrRkJRuXw1ICFNNEGN7TZk6iMtLFeeQjtdGG073Rr4XFI4n3U5NZGumFVNxlwptGMBKMC1JtJnF3EQq5fsI2uSuD8oTaM7tFOdykPPn5SOLoMSxfylPMGSYriwfgMfKrLoJTKwpqo9uxsavnCJ+m0sMTAfBtLGIbQTjcRLXU21V1cW+Ga9rz7tmoR2RCMZiAYlUEwYmHXN3Dz31SASK23f\/TXzd\/YRjvdm68O4+YrDn\/9wU9PCkcbiFbMtg4Lpj1DenDB4N1VL+BiCoLRwNUbSa4p\/TqwuEU30lUNBqPURKtYG4slXn7hitwvzeeEo43tvVO1KDfx0OKNgTy0oBiqRlMSjIbPh4FG7FjwDKOJJm6MTxxL60dX3PS30Q41pKpRJRx9xfjsoltdi9y89MvhPLCgGDqHpiQYDZ9gRCPiprYJTSxxSGnGaGJ0T3tVoxQOtG1KvI9+9KvPLGSozy5q6nNFNyIUaaMjQ7u1001HMBowbXQ0pckWuCaqBSmeH9Jm1Wjl5eHdiNlWV1X79jvnKSdRvV15eWvpl4F8eVA+BcFo2HwIaEQTVZ6JnQ205KVYMarqqlEbc1RxMzakqtFEhKOHHj+ZxhfTMUsX8vLrg9uqZw9uK\/0ykDftdFMQjIZNMCI5Tc2XHH0\/vR9fUTW6p4UqQATBl34xzLmG2+48U\/3gp5+10oaYMksX8hGhyLIFBkA73RQEo4EaLY5u8CMAACAASURBVK\/doY2Opuza3VzLUzwlb+Im+KMP06ygxI1+VAOaFjdmJ9aG+SN7101nx3NHpSxliM\/AbWassiAUMTAemF+GYDRc3vwkq4l2uuOJbaZbLw40bcNQq0ZVHRYiHJVw2OnekWpRDoQiBugOL+qlCUbDJRjRmCuvbvZaNlGBSm1l93o7ls62Mli\/emRztXJ42MPf9z58qjrw9MnBttbF9xWzaKRNKGKg4rDXa724FycYDdBoee2b8VC+9OtAc3Y23OLURMUoQkLK9t1\/upXWsMMvDHMRw3o333JmXD1qoyWxb1Z0p08oYuA8OL8EwWiYbB4habsauuFNfebmoSdONV75iEUMvz44\/AMmo7Xu+z\/5bNyWOKTqkRXdaROKKIBgdAmC0TDpISVp8cS8iVXFqVeNzrfUNT9PEgdMpriVrw2jfacHUz2Kc5us6E5XtKkKRRTAPeIlCEYDU69i3F36daBZTc8YVfU5Los6mngwquob+z23Nj9T8uzfbht8S93EpHoUs0c5BwvVonTFg4Z5lpvE+1HYJTPXjJbXVI0uQjAaHm92GheVj6YtN7CAIfWK0cSDj59qfN7oo99tGs8blSRmj3724p\/GASO39roIx26g0xQPGA49OdvhrfH+i\/O34v0Yf37095+NK4KQCVWjixCMhsebnSw0MWcU8zY5nO0TrYNtzButvLy1mJa69WKxxc9e\/CyrgOSmOV0xsxc\/S6YVDzni\/Rfnb03Ew6MHHz85DkleazLgIfpFCEbDc1fpF4A8NNWCkkvVKG6cHnq8+Vaqklrq1ouwOQlIOdyIPnvwiurwP5ZV4cvBu29vGc\/sTSuC+Hid\/EU2C8bPtAhIUU1SISRhO+sNxlxAMBoQPaPkponZmzdW8hmWjlawhx4\/2eg\/M1rqhnzw6+XEDWoOT+qjInH4hSuq7973tepNA\/5JiAcKz8644fEHP51uzi2qSdFe18Z8ITREh9EGBKNh8SYnK00sYIiDXiMc5OK2O880fgMfm7TiyXfJJk\/qIyCN7jmdbItdvFefPbit+vH3thfZBpmSlZe3zNRCF62bs8xbRmh\/9KmTlm6QKg\/TN+Cn8rB4k5OVps4zeiezUBA38E2Ho3jynVNAbEsEpHsfPpX8DFK0gD7z2PbxuTlet+5FtShm9KYVc0XRujmP+N81XSmGBtw+Wl671oX8MsFoIOo13TtLvw7kJZ6oltZONxHhqMk2m\/MHv862WWvI1s8gpRyQotoX7XUxf1TirFhfZq0WxfKURUSlWDgiQTqNLiAYDYdqEVlqomqUWzvdRNNrvKMKYcD\/yyYB6VeH\/zS+MU11IP78\/NF280cdmaVaFNXdJo4sEI5IkGB0AcFoOLy5aU2bK7H33NJM1WSWG51UxE17DHM3GY7iBtvsysbixjRmkOLmtIn5tqZFBSPmj6KC5DVsT8zjzTpb1JR4D5o5IiEeql\/AT97hEIxozaeftPfPjif4TQSDNzJ90t5GOIrDKrVlXVzcnH7\/J5+NVyqnuDUsqp8xfxQLGswfNW+WnxVRLWq6yhgVTNvqSMTOehSDmmA0APUu+mtKvw7kq4mn9\/EEONc2pEk4aqqKEdfimcfMG11OrFSOrWGTVd+pzSFFa2RUj2J2TNBtzixnn43+er6FC5fTdBstLMCD9XUEo2FQCiVre0fNPD1949V852siHEUVo6ltdTF39dIvyz3faBZfrPo+v6ghtTmk8wsatpsfa0C0KE7bRhfBpYnZoo3E533RhQ7QEMFoHcFoGLypadXxY+3+qIibjyZuRuNJcO6zGU2u8o65K8P80\/tik935OaSUnug7ILYZs1SL2m53i5975o1IgHvIdQSjYbi99AtAu9qcMZrYO2qmZeWNlfyfqkc4auqG6cVfXtHq8oyhijmkH\/3q\/BxS02dOLcIBsYs5McNDni4WdEQQ11JHz3bWIxnFqwSj\/I2W1yR9BqGpm89oOxrCwHpTh0JO5o3MqMwn5pDOt9n9KanzkBwQO59ZttF11VJ53yOqRvTOvWRNMMqfNzOtO3qk\/daduAlp6glttBwNwbhq8fefLXwzLhwtLt6f689DSuUpvwNiZzNLK11XwSjCd0pVSYrkXrImGOXPm5nB2HtnQ+10A6kaVfUcQiwFWPRGfLyM4ReWMTQhxTY7B8Q2q+vga9aInrmXrAlG+TNfROtmecq6iNsaXJk8pI1sk3Xei96ER2C02aw5F7bZ9b3NbnJA7A+\/Y\/5oUVdd3e2\/r8mKOczhGucZnecnZ8bMF9Glrtp0Rvc0UzV6560tg7o5jHAUN+HRxrVIeIzKgqpCsyZtdpNtdn3f4EZ1MOaPfv6U+aN59dEq2dTPPphT8feUlWCUPVtE6MyJY10Fo+Zak4Yya7ReVNWierTIjVtUFVQU2hGvT5xHFbNhfR8aGw8HzB\/Np4\/XbZeKEf0qPhhVglH2vInpzEcfdnNjFZWRpuY2ogVwiNWRmDtatLXu0JPbrPFuUbxGk0Nj+17WYP4oD\/Gzz+puelT8PWUlGGXPm5jOtH3I63pNDiLHOT5DfFo+aa078PR8rXWTTXVardoVr9P6ZQ19tdlN5o+iglRytTCVdesX0\/VsE6wT5xldW\/oFEYwyVQ\/JXVP6daA7sxyMuKiY2WiqahQ3hIdfGO7CgZtvOTOuSsxzSn9cm6gcabPqRixrWN9m14cIwjF\/FAfElhiKd96YbjCKz+HxjlqW4SKKf+AuGOWr+Dcv3er6F3aTVaOVl7cO+il5VCUefepkde8jsx9Aen5QXzjq0hdtdn\/qLSBFm2lUj14aaEX1YvreHHgpsU5\/lgNooQXFz64LRvkq\/s1Lt+IXdpdPmOMGpsktTS8WcIbPaN\/puapHwlE\/4j3ed0CKhwYxf7RyuIw17tfdMF0rYxeHWk\/ErF+sWH\/DDBj9K\/6hu2CUr+LfvHSvy3a6alw1Ot3YTMD4gNMBnW10MZPq0ayzR3F9fv7ktq6\/XBIISPHQI6oVJcwfTTvj1UWF\/N23t4xXqv\/w29s7\/9kKF1H82Zibzp1LexCRjY2W17xwdC4qOPc+3O0J7bFquMm12zEAH7MeJYgKUMxXRVVgWnFjHjfp9Ccqs\/Ge76uCEOEh3gMpt50tYv9f\/dlU\/+toTY0qbFPidT16ZHO1emRL9c7bm7XNkaq\/XFldeq\/UV0cwylB9sOu\/lH4d6F6sko3tWl2LJ9lNtfHFzV4Mv0dlpRTRqhMVgZgrmYZwlIao3kRAmvZ1a1q8D8ZzawP7rESVJs54upyouD70+KnxgpNZxOft00\/Ob\/KMv0ZbXlSgBCEy8e9XVpeeK\/XFEowyNFpeO1BV1d+Vfh3ox69e+VPnN0pxgxibtJoSMzjRblaaOMdmvL58ihs04Sgd8f6PGbk+2q0iHERLa5OVk75FC9uhGdpG42HK9Tdc+mdeX+EVWvD8yurSA6Ve2C1PPfVUAl8Gs3jxf\/tv\/2tsfnXR6MM3ls9W\/\/3\/2G0wihuTeAr7\/\/4\/zdx8xD\/nyv\/u\/PdSkh03nqv+7f9yprpi27nxTfapkxcPSPGff\/S7zXOtAadZ8f7\/t\/\/zmfHN+er7l37dmhb\/rv\/rv26pjr6\/Zdxid+UAztmJn19vvLp16mUj8d+LivWl\/sCAbLr\/P\/z5r0p9QT3iyJONdPSmryejDz4++yrqS4nWshIPuoxq3777T49bIi836B8zLr8+aCFDKuKg2Ng62OQq+2lN1nvHzN8Q3NPDNYRM7C75hRKM8rSz9AtAf6bpzW9D3NBHv3+Top2m1Ke9025CE47SMgm28br1Uc2LmadYLR0V3JxFyJx2Qx2Upp5lL5JWuszUb9Ziez\/pX7SV7B2d6aWlJlpgmmypizaheBL+r\/\/N2eqKQu\/943WMG+x4TWP2aKM5Fm116YnX7V\/fcaZa\/ubZ8ZazLs+g+vi\/bar+83\/aWlWbpl9\/naL42iP4d9maCJk4cv9\/+PP\/UuKLpWKUH2109O6dt\/s7iDBa6ppcIxw3\/b8+OPzzjS7nchWkuIH88fe2OwQ2MbF6Pl6zPtrronqU89lH8Z5vugoNA\/H1Ul9IwSg\/ghG9e7endrqqbiU68DfNbkuL9kDtYudNAlJsH4yb7fVzXVFde+axbcJRgibtdV1XcKIVNTZGxuHJOb4vYhX3Q7YvwoWKvde0rjszo+W190ofjCMNfaztXm\/l8NbxAoUmNX2g41DEmu9\/fnnr5212cZ7VD356sqizoHIyy1r2Jo0rME+czPIA5Vjh\/ezB7q8ZpGpldanID4NglJnR8poXjCTEU9bbLrPVrG3THtQ4ixS+r1RFy9QbK1vHp\/bHTfCBp0822tZIc6J6Ey2ifSxLiVm08RbJzIJzzC8++7f9nBcFCfrLldWl90p7YSxfyMhoeS1Km98p\/TqQiE3nh7\/7dNP\/dLZ6\/79uHg+DNyXmp+K8mDjzhy+LEBQ3vXEW0lVXn6sO\/+MV1c5vnKuu+XPXKjWxTCQ+n\/H6vP9\/dHv2USxH+c\/\/aUv1P+w41\/mZZ4uI9\/HkvKjjxzZP3RoY7YvxJz4b1\/9FVV11deVsI4Zg5f7\/8OdHS3slVYwyMlpeuzvmXUu\/DqQjZhr6rhjEU97x3EvDLTAqR9OJm0ctdWnru3p078PNLkzpSrQkxsa\/CDmT89ti5m7njeeqXbvP1H89u+H7P675u29t7qWlERry9MrqUnHVE8EoI6PltXiDPln6dSAdqczkRDj64be3N\/7PFY4Ykr7maCJM7Nt\/usj5vT5DKSzoNyurS3eXdhE10ual2AO3SNPKP6VxCv6OpbOtbJZ69uC28VNjGILYwPazFz\/rfHNdBLFYlBLr3ktrMYtq0qNPnbzkIcqQqCJXdgtGeSl2rzxpipucVE7Aj8qOcASXFjfq3\/\/JZ+Nqb9eiHe2H39leHf7HNB6odCmut0UlZKbIDciCUV52ln4BSE8qVaOqDkdtPJmNcBTrwWEooq3tR3\/\/2Xj1epeiehQHw0ZAKql6FIH0vh7CKCyiXvpVFMEoEyW+OcnDG69uSepgxzictI1wFK1ADoFlSKIFNc6j6qPNK1ZiRzgqqRobrYyqRmSmuE4lwSgf2uhI1srLad3ctBWOIgTGzVyOJ\/zDRqKSEZ+XaEONJQldiupRVGPjgUMpn6nRXztAmqyoGJEsFSOSFYd+pqatcBRPur973\/ZkZqugCdGGGtWjrlvrqvqBQ6zcL+EztecWSxjIimBEsgQjkhWzAim2xLQVjuJJd6wHN3fEkPTdWhfhaOitddFK10f4hDldW9qFE4zyUdybk7y8\/MIVSX69bYWjat3ckdY6hmLSWtfH1rpSWuv2jlSNyMbtpb1UglE+intzkpdUq0ZVHY7autErqQ2Icky21nU9d1St+0wNdWuddjpyMlpeK+rBvN\/kGSjtTUm+Uq0aVfWNXhvnHFUFtQFRlmitiwNh+2j9mmyte\/ft4X2mop3OdjoyUtQoh2CUB\/NFZCHlqlH1+YB5O0\/BJ21AL\/0y3XAIs4rWur7mjuIzdejJbYM8EHZ5tzkjslHUVmTBKA9WdZONlKtGYddN5wfM23piu\/Ly1uIOr2TY+pw7CnEg7NDmjpZ3a6cjG4IRyRGMyEbqVaOqbhGK+Ym2ntoOuQ2Ick3aUc0dLW7HN7TSkQ2tdCRHMCIrL\/7yiuSf7sZT8O\/\/5LPWnoJP2oBsrWNIJucd9RGOJg8chrDoJB7OQCYsXyA5ghFZiVCw8nIe1ZLJ9q22BsxtrWNoxhXXX\/WzlGFyhtgQFp2YMyITKkYkRzAiOzEXkEvby+RGb9\/+dqpH4yfdDoRlQGJGLypHfd3cx6KT3D9PDnolE9eU9EIJRnnYWfoFIE\/RRpaTffefbnX2KA6E\/fH3tmutYxAm7ah9bKyr1h2wnKvrbjBnRB5Gy2vFVI0Eo8SNltdUi8jW6pHN2S0giOrRZPaojTmKuCbfvc9iBoYjNtaN7jndy\/cTraq5hqOdKkbko5g5I8EofYIRWXv2YPqLGDYSs0dxuGUbT8MnixleymBJBUzj3odPtXaA8uVEOIqlDLl9lnbcqGJENlSMSEZR20AYnggBvz6Y56Gnk\/Nb2mqvG5959O3t1dH3\/Sgmf7Gxrq9wFHN8seQkp3AUP18gEypGJKOobSAM0ztvbcm6dWzSXveDn37W+MGwsaDimce2D\/J0f8ojHM3GAgYyUUz3kmAEdCLXlrr1dt10tvrZi38a3\/g1HZBii99QzmihbMLR9K66OosvEwQjkqFixCBES93Pn8x3g9R6cePXRkCarPVWPSJ3wtF0VIwgLYJR+swYMRixkW1IZ\/lMAlK02DU5g6R6xBAIR5fXxuZLaMHtpVxUv3XTJxgxKHH2yNBu+KPFLmaQYklDbLFr4mZH9YghEI6AnGw6d87TipSNlte8QAxOBIdYhT3UrUxxIxYrhN9Y2TK+OVtUtNvc98ipcQCDHL356pbq2Z7OG9pz65nq0af6CWeXExspY\/kKZOBfrawufTD0F0rFCOjckOaNNhKBL85B+tGvzleR4vDLRapI5598b3fuEdmKytG+\/ad6+fJjK2auh8BCQopYwCAYJWy0vOZwVwYr5o3iRn\/oYtV3HH75q8N\/qg48fXKhVrvJuUc5rz6nXPvuP93KgcnTiAqucARcjmCUNsGIQYsb\/ZJu8m++5cz4wNgISbGwISpJs261i3OPDj25rfr5U2YnyE+8\/9s4LHkaEY6ipQ+Yi4oRQNvifKMSt6\/FvFBUkmKr3WT1d8xCTBuUoj3ou\/dtH9SWP8rw6NMne1tTHXNOMdeTiiudY0Q+ighGli8kbLS89kBVVf9Q+nVg+OIm6Qc\/PTnYZQyziqrQ0SObq+PHNo9bDi+3wCGu30NPnBq37UEO4j0eK+lj3rBr0coa839NH9I8r\/1\/9Wfes+Tg6ZXVpaeG\/koJRgkbLa\/FG\/DJ0q8DZYj2mlh5zVdFy9yJY5vGIenokS3jv24khttjjgNy0OdGtniYEOEoBYIRmXh+ZXXpgaG\/WHowgCTEzX4MRz\/Y05knKYtK2q6bzp1f110Hn2g\/jGv26Sfnv\/Dr\/+JcdfOtKkbkI97PEebjQOOuRRU2lr9EOyswlSJa6QSjtDnclaLEcPSOb2wdr7rm0qJtTuscuYsK56WqoG2K5S9RqY6lKH2xQAXSYvlC2r5Z+gWgPC\/94gqbo6AgsYxhkXO+FhHLX\/oMJ9EiC6RDMAKSE5ujnNUDZYhW0Tjjqw9DP2waGlTEw3rBCEhSqWu8oUQxbxTnevUh2visvYfLuqaES+SuI21mjChWPMl95rFtwhEUYt\/+2Q88bsrhF7aOV4gDZXPHkbbdpV8AyiYcQTmipe6hJ\/prqYstdUDZ3G0ASROOoBzRUrf3zn62xL3z1pbOZxv72MYH8xotrw1+ZbdPJJA84QjKce8jp3rbUvfiL\/rdUgeJE4wAUiAcQRmipS7mjfoQc0YrL9uICaVyhwFkYxKOjr7vRxcMWRzy3N8ihissYoBCubtI1Gh57Y7SrwFs5Hw42u4QWBi4e\/af6u0bjHAElEcwArIUh8AKRzBct915preq0RuvbumkanTimNswSIlPJJCtCEe\/PujUehiqPqtGKy+3f+hrVMAhI98c+oslGAFZiye7P39qm01SMEB9V438XIEvuXbol0MwArIX54\/EUgY3MTA8fVWNoprz7ltuk6AkPvHAIESv\/nfv226dNwxMVI36OtfonztopwPS4Q4CGIx4wvvDb9tYB0Mzuqefc43igYvV3VAOwQgYnMlSBq11MAx77zzT2\/fxhgctUAzBKF1fL\/0CwCLiZibmjrTWQf5iAcOeW\/sJRzHDCJTBHUO6BCNYULTBRDjSWgf523NLP8GozXa633+oqg0pEYyAQYu5I611kL+bbz3b2\/fwztvtPFwxvwRpEYyAIkRrXSxm0FoHebryqv7a6Y4e8XMDSuCTDhQjns5GODr8j1bwQo527e6narQqGEERfNKB4hx+4Yrqh99RPYLc9DVnFC25fl7A8PmUA0WKgWrVI8hLbKeLP3048VvzQDB0ghFQtEn16Oj7fhxCDpZ7aqf7fQuLEq68up+QB2zMnQBQvPNrvbdXL\/3yCpvrIHE7vtFPMDp6pPnNdDtvFIwgJYIRQG3l5a3Vd+\/bXr3b0mpeYHE7b+wnGB0\/5qEJDJ1gBLBODFkfenJb9ePvWc4AKdp1Uz\/BKH42qCjDsPmtD7CBWM8byxm010F6dvRUNTrRcNVo1+5+tuwBGxOM0vVe6RcAUjBpr7O9DtJx1dX9fCnOM4Jh8wlP1x9KvwCQimihie11373va9Wbr5o\/gr71VWn56EO3TTBkPuEAU\/rod5uqZw9uGwck672hPE0vYLi+pzOZgI35zQ4wowhIsd47FjQISNC9vgJFrPZv0nU3CEaQEr\/RAeYU8wYCEnSvz0BhWyUMl083wIIEJCjHRx\/aUglD5Tc4QEPWByRLGmCYmpwz6utMJpjT4BeDCUYADYuANFnSICDBsBw94jNNsQZ\/lIxgBNCSyRa77+z72vgcJAfFQv5+r5UOBkswStTK6tJrpV8DGIrJOUjfuftr1a8PbjO8DRmLBx4ecsAwOcodoENvvLpl\/Gd599lq752nq9vu7OegSmB+J45tqnbdZNU2DI3HlgA9mMwhRZvdS7+8YvwUGsjD8QbPM7ryagELUqFiBNCjaLNbeXnr+M+kinTzrWerK69yswQXE5+bPp34bXPBaOeN56rVIx6MkIUPhv4yCUYAiYgq0uqRbdWVvzxX7bnlbLXn1jPVzbdotYMLNbkyex4qvJRoZXVJMKJXr1dVdbuXAMoST8Mns0jX\/cW5cUDaOzpT7Vhy5gmkIB5iAMMjGAEkLJ5MT1rthCQ470SDMz7ziu2SPocwLIIRQCYuDEkxk6TdjhKlcJbQRx9uqnYslXj1KdTHJXzbghFAhiIkTdrtQgSkXbvPjsOSp9gMXQoVo5hzuvmWoV9p+Nx7JVwKwShtr5kxAqbxzltbxn\/CpJq0vPt8WIr\/H4YilQOSmwpnu3afMbMEiRCMAAbmwmrSJCjt+IaKEvlLJUQcb3BlN5AGwQhg4CZBqaqDUhgHpBvPVjtvjMB0TlgiG02eIbSI+FxZwEBBtNLRu8Hviwf6cf7MpC\/fYC7XbXfX3XD2i\/9bGx6JeeftdCo18RkSjCjEH0r4NgWjtAlGQGe+CEpbqsPr\/qVRWbrq6vOzEFUdoMKum9wQ0q2o0MQ5X6l4Y2VLNdp32rsABkIwAuCSJkPmk+B0+IL\/8iQ4XXn1ufH\/Ha4fV57OV5tUnmhKBJEmRLhvYlYpPhvRUrfI+\/vKq709yEIRD+sFo7SpGAHJW7+da7IZ72LiBvL6OjCtD1Jh543nxn9vQkWKC13u\/TWNeI89+vTJ6jt3f62R6xvnit378Km5\/\/d77zxTHX5ha1KVMNiAYES\/VlaXPhgtr3kVgMGIp+vxZ2KWG91JC99EhKr1QSqevO+88cv\/nfh7ZkCGIdro1r935rXnlrPVlVedD+VNrNyOxSb79p8e\/zPnEf+70T2nq8MvXFHqSwvJEIwAyMKFrU\/ztkJFmIrq1IUmQSvC1J5bzmj\/S8zKPzVzy7Jv\/\/nqzlUNtbBFpWfl5S3VvvvnnzUa3XNmXHlSNSJhttKRhCNVVe32UgA0I24+V4989QZ0fdB66RdXjJ\/iL9IiRXM+\/eOmRrbRLbd04HGEmgg3qkYM1crqUhFb6ZxOlr4i3ogAqYmb3V8f3OZ1ScC7bzWzjW7vne1skIuv7dcHFws1EawgUR+X8sIIRukTjAB6EvMjTcy1sJiXG6ikRJvkbXee+dL\/36SYl3v37fmXQ0zmniBBRbTRVYJRFop5MwKk6J0FbnZZ3JsNhdO9d365ItNGCHn24BULfa1NzT0B8xGMAIBkNVEtqsatau0fxBotdYee3DaeiYIBUTEiGa95KQD6c+GacLrTVLWoraULG4kV4M88tm2ur\/v3HwpUJKmYsQ7BCAAuwTlI\/WmqWtTW0oWLiXD0w+9sH5+9NK2oMplnI1FFHO5aCUZZMGME0BPD8P05\/I9bGwkKFy5d6Eq01f3w29vH38c0YvMeJEowIg2l7I0HSNFGB8HSvqiexLr0JnQxW3QpcTbRj793+erRG686WpJkaaUjKUe8HADdu+4GFaM+xJlATZxbVG2wja4PcXhwVI\/iXKyj73\/11itmqdYfMAwpWVldKqZ7yeOJPKgaAfRAxah7ERziTKAmRCjqaunCNOJcrPhT1S1+8bXFPBIkrJjDXSsVo2yYMwLoQdOHgHJp0UL37N9ua+wqjf663za6S4mKmFBEBoq6B1UxyoOKEfAVsRhgciDkrt1ftAsdPbKlOn5sU2OtSCVLqdpQgpd+sdgBqevFim4bBWFhxSxeqASjbKgYQeHiJi\/CT7R2RSC65A37\/eefksewd8wtnPjt+b9aBTw7wag77779RZtZEy63dEGbJExFMCI5KkZQmLgh33PrmXEguvmW+YbH42n5+ifm0aZ09MjmcTUpqkqGvUlFhPZnDzZzZlFVf34u97nRJglTEYxIy8rq0muj5TWvCgxc3KjtueXseC6ijRagK686f7N48y1friqd+O2marVuvzPzQB8OPbmt0dbPe\/af8jpCMwQjkhRbQa7x0sDwRGvcv7vndC+HUJ6vKlVf+nfHVrDjx8634AlLtC1WWDf5HotqUR+fJRgoyxdIUrwxb\/fSwHBEm9y+\/aeqXTelNSAeX8+FX9OksjQOTMc2W+5AI958tdm5okq1CBq1srpU1DiHYJSPDwQjGIYIRA8+fjKrwf7PK0vVF0\/iYy4k\/owXO3y4+fP\/G6YRYfvZg82t5q5Ui6Bpr5d2RQWjfBTV4wlDlGqFaF5xExp\/NqouffpJJTBxUfEeeeaxZkNR2DtK99wiyFBx956CUT6s7IZMRXi475FTc2+Xy81kccSFgSm24p04dr4dL4JTbMb7zTC0FgAAIABJREFU4yeVGabCnD\/E9YrGWzHjcza6R7UIGiQYkSwVI8hQVIjiZi02wpUursGum9ZVmO7\/4un+pC1vEppOjP+6ySzTwEQoikpRG2E4Zot8zqBRxT2UF4wysbK69J6V3ZCP2DT30BOnnLw\/pYu15U1M2vMmwWnSoqfilJefP9lOKDJbBK1QMSJpR6qq2u0lgrRFlWjf\/WYdmnSx9rz1fvy97Y3PMsXq8qHMhPUt1nK3NWtmEx00Lx7Kl3ZZBaO8fCAYQbpUiWBjEYqaXss9oVoErThS4mXVf5AXCxggUaN7Tlc\/+tVnQtHAHNemt7A2Q1F46ImTnX0vUJAiZ9tVjPIiGEFirrz6XPXQ4+VsnCvNRx9a\/LCItkNRrMDX6gitKPKeUzDKi2AECYnWuQNP53VQK7Nx\/tL82g5F4d5HzBZBS4q85\/QTPyMrq0tWdkMi9t55pvrBT4WioRuvDf+jqtEs4nr98DvbWw9F0b6qdRVaIxiRhde9TNCveEr94OMnnZlSiHff8qtyWm2eU7RetLDu22\/zI7Sl1IfxftrnRzsd9CRuxqJ1brTPDVlJ3nhV1\/k04lypLkJRNV6Jf9qDCWhPsQ\/h\/bTPj3Y66EGEomid07qTrniN2hBzRnHTr23y4uIA3ghFn37SftthLFzwcAJaVexDeBWj\/KgYQcdiycLPXrSKO3XxOrXl8AtXlH55L+rNV7d0FooqCxegC4IReVhZXXrNSwXdiZvtqBRp20lfVBLaEosEomrEl60c3lo9e7C7ULRvvwOUoQOCEVkp8jRi6FpsnotDW4WiPMR5Nm2101X1+mnOiyULcT1e+kV3lbRoZRzd47wwaNvK6pJgRFa000HLIhTF5jnysueW9qoJMWv07tvtrqDOwWSeqO113Bd66AmVW+hA0duPBaM8CUbQIqEoX3tH7Q7lP3vwiqJb6qJ1rqvNc+vFmUVREQRaV\/Q9pmCUJ8EIWiIU5S1unttcwhCzNIee3Fbcoa8RBn\/8ve3j1rmu5okm4vV0ZhF0RjAiLxYwQDuEomH4d\/e0exMd1ZKompTi8D9urb5739fGrYR9eOiJU1rooDuCEVkqugcUmiYUDcdtd55p\/cyhCEdRQRly5SjmqSIQ9bmq3BY66NTHJS9eqASjrGmng4YIRcMTg\/ptiwrK+PyegYWjo++fD33RMtjnPFWsX993vxY66FDx95aCUb6000EDhKJhilmjPbe2v9o5KkffvW\/7OEzkbhKInnlse29tcxOxdv3Rp30uoWPF31tuTeBrYD7Fp3pYlFA0bPc+fGp8g9\/2soD450eYiM1psSQgt3mYaJlbeXlr72FovQNPW80NPSg+GKkYZWpldemDqqqOl34dYF5C0fDFnNF9D5\/q7PuMcPHDb2+v3uz4fJ95RPtfrN6OGaJomUspFN37yCmruaEfxT90VzHKW7yBd5Z+EWBWMbsgFJUhFjG88\/aZ6p23ugkrMZPz7ME4\/PTsuIJ08y3tt\/PNIqpDcS26Ppx1WvHAYrTPXBH04MjK6tIfSr\/wglHeouR5V+kXAWYRZ6KYXSjLg4+fqn7\/4aZODyWNCszqkW3jqtU9+09VN996tpfWsKgMHT2yeRyG3nm7\/bbCRcRnM6pFQC+Kb6OrBKPseRPDDOLG6wc\/NbtQmni94yyc8Qa5joPBpIJUHTxfDVnefabatftsa+vEIwidOLZpHMyOHtmSVIvcpcSyBZ9N6FXxbXRh07lzfgjlbLS8FmXPa0q\/DnA5ceP1o1991vr5NqQrtq7FkoQUxPtx543nql27z1RXXl1VO288O\/7rtGf2nFiL6k9VffThpur3vztfDTv+2829rtee1yQUdX1eUUrvB0jAv6rn14umYpQ\/7XRwGZMbL6GobDHQ\/9DjJ89XcHoWlavVI5uyqei0KTbQOcQVenVcKDrPT+T8aaeDy3jocafnc14sY3jI4o1kxGthAx30zr1kTTDKnzczXEIMc6e2GYx+CUdpiNcgXgugd+4la4JR5lZWl2JY7uPSrwNsxOpfLkY46pdQBEkRjGqC0TB4Q8MFYgOds4q4FOGoH0IRJMV80TqC0TAIRrBOLFmIZQtwOcJRt4QiSI57yHUEo2HwpoZabKA78DfOQ2F6caP+o7\/\/bPzeoT1CESTJPeQ6gtEAmDOCL9z3sA10zC7eM3HOVbRg0qzxw4qnhSJI1CtemC8IRsPhjU3xYtmCmy\/mNWnB3Os91JjJGWI2Q0KSjqysLv3BS\/MFwWg4lEIpmmULNCFaMON9FG1fWusWE5\/JcRVOBRdS5d7xAoLRcHhzU6xJqw40ZTx3pLVublF1i0pRVOGAZOk2uoBgNBD1qsUjpV8HyvTQ46fcgNG4eE9FONq3\/5SLO4M4VDmqbhagQNpWVpc8VL+AYDQs3uAUZ3TPafMLtGrf\/aern734p2p5t+rRpYyD5N9\/5lBlyMNvvE5fJRgNi5IoRYk2p3sf9jSf9sVN\/\/d\/8tl49kh18qviAUWEIvNEkA0P0zcgGA1IXRK1tpsixFzRQ08IRXRrcuZRtNdZzjDZ5PfZ+AGF1jnIiofpGxCMhscTAIqwb\/9pT6fpRQSA8+11ZQek+N4jJO66yecQMnOknk3nAltdkMGJJwB3lX4RGLaY9TDHQN8mAWl0z5nqjVe3VCv\/tLX66HebBv+6xOfvQS2FkDMP0S9CMBqeCEb\/UPpFYLji6fyjVnOTkAhIEdTjz9H3N1dvrGyt3nl7c\/XpJ8MKSRGIokqkQgTZ00Z3EZvOnfPEZ2hGy2vvVVW1u\/TrwDDFeUW20JGDd9\/eUr3z1pZq9cjmrCtJQw1EEWKfeWx7Al8JdOrjldWla13yjakYDdNzVVX9XekXgeHZc+sZoYhsxHt18n799I+bxu12h1\/Ymk0lKQ5p3Ts6rUIEw6JadAmC0TC9IhgxNNFC9+DjttCRp0m7XVRfnnlsW7LhKOaGIgxFKDJDBIMkGF2CYDRAsWlktLx2vKqqnaVfC4bjocetAyZ\/sUkx2kFTauGKABTV2L2jMzY9wvBZvHAJgtFwxROBR0u\/CAxDPGXXQsdQRGtazOwcfuGK3r6j8Wfq1jPjvwpDUIzfrKwu\/cHLfXGC0XA9JxgxBOdb6GyhY1jGK75XulnvvePGs+MAdN0N5wQhKJs2ustwwOtArawuxWa646VfB\/I3uue0WQcGJ9pC79nfzczcfY+cqu59+NR4xkkogqIJRpchGA2bDwBZiyfdcYAmDNFtHS04+OjD4R86C1yWNropCEbD9lzpF4C8xZNuGLLRX7cf\/FePbPEeAjwsn4JgNGDa6chZrAt2fgpDF+\/ztr3ztl\/1gGA0DT8th88HgezEwoV7VYsoQMwatR2O4sykd99WNYKCaaObkmA0fNrpyE4sXHBmEaWIM4Ta9s5bghEUzEPyKQlGA6edjtzEMLqFC5QkzuhqewmDdjoommA0JT8py+ADQTYsXKBEbVeNtNNBsbTRzUAwKoN2OrIwPo3\/lvbbiiA1XbTTvfGqYAQF8nB8BoJRAep2uiOlXwfSt6+jAy8hNbGBMZaOtCnmjD79ozONoCAfr6wueTg+A8GoHD4YJM16bkq355b23\/\/vvuXXPhREtWhGfkKWw4eDpKkWUbrl3e230\/3zy1tLv8xQEvd+MxKMCrGyuvRBDOCVfh1IU1SL2t7KBam7+db2K0Ynjm2uPvqddjoowPGV1SXBaEaCUVl8QEiSahGcP+x1x43th6MVVSMogXu+OQhGZYkPycelXwTSoloEX4jNjG1z2CsU4ZCXeXaCUUHqPfaeIJAU1SL4QhfBKFrpnGkEg3akHqFgRoJReWynIxmqRfBluzoIRpWqEQydatGcBKPCrKwuvRYDeaVfB9KgWgRf1tWcURz26kwjGCzdQXMSjMrkSQK9Uy2Cje28sZvPhTONYJCer0cnmIOfimXyJIHeqRbBxro4z6hyphEMlZGJBQhGBXKmEX1TLYKL2\/GNbj4bcabRiTW3ATAgx+uRCebkJ2K5PFGgN3tHp118uIgdS2erK6\/uJhy9sWIJAwyIUYkFCUaFqk9DtoSBzsU64l03dbN5C3LV1ZxRLGEABsND7wUJRmXzAaJzo3tUi+BydnU0Z\/TpJ5uqN4UjGAJLFxogGJVNyZVOxVzRzbd0c8MHOeuqYlSNq0aWMMAAeNjdAMGoYPWThedLvw50Z\/TXqkUwjS7OMppYPbK5+uh3zjSCjB2xdKEZghGeMNCJGCaPbXTA5UV1tasFDJVZI8idDqCGCEaFq58wHCn9OtC+PbecHZ\/qD0yn03a6Fe10kKmPnU\/ZHMGIypMGuuBAV5hNl+100Ur37tuqRpCh5yxdaI5gRFU\/afjYlaAtsaLbga4wm50dBqNKOx3kysPtBglGTJYw+GDRmr13WroAs7ruhm4fJrzz1hZLGCAvv1lZXfrAa9YcwYgJSxhoRQyQ32bpAsysj4OQVY0gKx5qN0wwYqx+4mB1N42LpQvAfLpuQbWEAbJx3Iru5glGrKdqROOcXQTzu77jdjpLGCAbT3mpmicY8bn6ycPrrghNiafdO5ZUjGBeu3Z334aqnQ6S9\/HK6pKH2S0QjLiQDxqNUS2CxVzfwzZHSxggeWaLWiIY8SX1E4jjrgpN2HOLpQuwiK430028o50OUvWxYNQewYiN6FtlYc4ugsX1sZkurPyTJQyQqFcc6NoewYivqKtGDnxlIc4ugmbEyvuuRSvd0ffdIkCCPLxukZ96XIwyLQu5+VZLF6AJO2\/sp\/JqdTck53kHurZLMOJiDqkaMa89t56prrxKGx00YceN\/TxkiO10n\/7REgZIiGpRywQjNlT3r6oaMRdLF6A5fbTSTVjdDcn4jWpR+wQjLkXViLloo4PmxCKTvljCAMnwsLoDghEXVVeNXnGFmEW0\/Wijg+ZceXV\/FzOWMLxrdTf07fX6EH5aJhhxOfpZmcnekTY6FvPmq1uqE2t+PU3sWOq3AqudDnrnXqwjfvNwSXU\/6\/OuEtMyX8S8YtD\/x9\/bXj17cFv1zGPbXMd1+pwzeuetLePK0dB89KHFEmRBtahDghHT8KSCqcSBrg51ZR4RiiIMrR45\/2vp00\/ctK7X18ruiSFWjX4\/wLDHILkH65BgxGWpGjGtWNMN83jpF1dUJ475lXQxfT9wcKYR9EK1qGN+CzEtTyy4LMGIefz64DZzLJdx3Q39zhlZwgC9cO\/VMcGIqagacTkxA7HrJmu6mc3K4a1C0RSuT6BF1esEnVIt6oFgxCw8ueCi+jxrhTzF9rlooePyrruh\/2A01CUMkCj3XD0QjJhaXTV62hVjI7sEI2YQ67hf\/OXFQ5ElHl+WyvVQNYJOqBb1RDBiVnHy8seuGhdSMWJaEYpiA92lNs9dn0CFJCXJBCNLGKALqkU9EYyYycrq0h\/qcASfi\/mivg+hJA+TtdyXW8e940bvpwulEI4sYYDWPa9a1B\/BiHmoGvElqkVMY9pQVI3P7fGeulAqVTTtdNAq1aIeCUbMTNWIC5kv4nImoWjas4p2fEMr3YWiMpuCWMIQryfQuOfreW56Ihgxl5XVpXiicdzVo1Ix4jJmDUVaMzeWUnvhu2+5fYCGfaxa1D8\/2ViEDzBuYrmkWUNR2HOL91Pq3jFnBE07pFrUP8GIua2sLj1XVdURV7BsqkVczDyhKOy59YxruoGUPmva6aBRHxtRSINgxKIOuIJlsz2MjUxWcs8aiqICefMtglEOtNNBY56q57fpmZ9qLKReKfm6q1guFSMuNG8oqrTRXVJqh95qp4NGHF9ZXVItSoRgRBMecBXLteNG28P4QpxxM+1K7o3s23\/K1byI5ILRW4IRNEDnTUIEIxZWDws+70qWJ9rorrxKMOK8lcNbq0NPzh+KovqY2s1\/alJrXXXYKyzk9ZXVpVdcwnQIRjTlgENfy7NTtYh6ycKvD26rXvrFFQtdDtWiy\/vBT08m9fWoGsFCVIsSIxjRCIe+lmnHN8yDlG4yT\/TGq4vdIEe1aNdN3k+Xk1qF9p233UbAnOIw1\/dcvLT4iUZjHPpanp020hXtzVe3zL1k4UKqRdN5c8EA2rRom9ROBzP7WLUoTVtLvwA0LhYx\/IvLWgZP+Mt0vnXuisbaqPbeecZ76TLimq+8vKU6\/MJi7YptiPdBjivWmwj0MKdD1nOnSTCiUbG+e7S8Fuu7b3dlh82QfJmiOvDswSvmXrBwoTi36N5HVIsu5qPfbRq3Ka68vLWxa960aKd7MMmv7NJSvZ4M3vG6w4YECUa0IapG\/7crO2w7zRcVpekq0cS+\/adtNrzA0fc3V6tHNo+vdQ5VjUk7XW5Vo9jwF9cZOuaIk4QJRjQu1nePlteerqrqSVd3uFJbG0x7Yg334Rear1jEwoXRvtNFv3KxvOLEbzdVx49tHoegXG\/Uc2yni2oldOw39cH4JEowoi2H6qciO13hYbKqe\/iicvHiL65opWoRN6WPPp3W6uk2RKXtxLHzgTJCT4TLuJ6\/\/3DTuE1uKHJsp7teOzDdsnAhA4IRrYihwtHyWvwAOOwKD9N1N7ipGKq4YY9zidqsXjz0+KlsW+ji+qwPNeuv09Ej51sNhxZ8LifHdrpdu1W96dSh+kB8EiYY0Zo4zdkihuHaseSmYmjiRj62ni16JtHlRBtmGzfQFwaWi4mb+OPHNv7vRTXnwpbB+O8a1L+83NrpYoFM\/CkpwNIbCxcyIRjRtminiwPMrnGlh8N80bDEnMvKP21tPRBNRPjY\/1d\/VtQ1LkGO7XR7bj0z3vgHLbNwIRPWsdCqumx8yFUeluu10Q1CzBD9+Hvbqx9+e3tnoYjhyvGw172j\/M5fIjvPW7iQD8GI1tXl4yOu9HCoGOVrfFDo4a3Vd+\/7WvXMY9utK6ZRTa9zb1u0BC+bNaI9Fi5kRv2YrsQPhn9xtYfBRrr8RHXojZXu2uUoU47tdPv2n6pWH9uewFfCAB2IZVRe2Hx4VEgn6jLyz13tYXD+Rx5iduilX17xeXVIKKJtObbT7brpbDW6p+zztGjF6yurS8+5tHlRMaJL0VJ3t7ON8hc3EqQpKkPRzhR\/bNuiDzke9rpv\/+lxW2kbZ3ZRpI8tXMjTpnPnPPmlO6PltbudbZS3qBb96vCfSr8MyYjwc\/TI5uqdt7d8foAo9CnXnxExf\/fMY9uEI5rwtPXceRKM6Nxoee2VqqrucuXzFIPK3\/\/JZ6Vfht5Ee9yJ326qVo+cD0KqQqTowNMns6saVXU4+vmT7R5uzOAdWVld+qaXOU9a6ehDlJc\/cLZRnswXdWcSgo4fO9\/i42aNXOTYTheuvOrc+MHPm69uGVdhc9uyRxK00GVMMKJzsaFltLz2gJa6PFnV3a6YEYp2uI0OnZysFRaQSF3u79Hb7jwz\/hNimUQsLhGSmEK00L3nQuVLKx290VKXp3sfOVWN9tnglIMIWbNa5Ib2ow9nb+07fmyTuaiB+tHffzY+J2go4r19+IUrxivJvWfZgBa6ARCM6M1oee1aLXX5+cFPP7OVjsZFiIuWwfEiCU\/mByFWYN\/78KnBfV\/jQ5Jf3jKu6gpIrPOXqkX5E4zolS11+RnaU2DSEzee7761uXrj1a3aBjN23V+cq3724nA3WMb79PALWzdse6U4ttANhGBE77TU5eWF\/\/3\/K\/0S0KFJ+5LDafNUwoOUeI\/++qBNdgXTQjcgPsWk4IH6MDSAL4mqw4OPnxxXHibLJ8jHGyvDD7TxHo1NdrGi3NbO4jjIdWAEI3oXW+qqqrrbK5E+N6b0Zf3NZ\/zf5KGkebFYT\/6zFz+r9tya35py5vaUuaJhEYxIwsrq0mtVVf3cqwFcStx8RnuWm888RJtZnMdVijgH6dGnTqoeleH1ldWlQ6VfhKERjEhJDC4e8Yqky5N6UjC5+Xzo8ZNejwyU0E53oXGA\/9Vnzn0bLi10AyUYkYy6pc4PmoRdd4Nf8qQjDuCM6pEn82krdf16PEj6wU9PVnvvVN0coAdWVpc+KP0iDJFgRFLqXt2nvSrANGLjmSfzaSutnW69qG7G8hDhaFCeX1ldeqX0izBUghHJqc8CeN0rk57rtdKRoMmTeeEoXSW2060X4Ujr5yAcr6rqQOkXYcgEI1J1txXe6bnuBsGINMWTeeEoXaW2060XrZ\/CUfburtv+GSjBiCSZNwJmJRylq+R2uvUiHO3bfyqdL4hZPG019\/D5KUWy6h5eK7wTcuXVpV8BUiccpav0drqJffefNnOUn9frNn8GTjAiaSurSwes8E5HDLpD6iIcOUcmPdrpvhAzRw7MzsbHDqEvh2BEDswbATOZLGQQjtKhne7LHn36pLPh8mCuqCB+QpG8+qwA80bATKLCed\/D5jlSop3uC+PK5t9YxpC4mCt6rfSLUBLBiCyYNwLmEcPuo3tOu3aJeOPVLdWnf9xU+mX4XIR3yxiSZa6oQIIR2TBv1C\/D7OTq3odPmedIxKefbKpWXlY1Wi+WMfj5mhxzRYUSjMiNeaOeXGUjHRl71DKGZBx+4QqzRhd46AlVo8TcYa6oTH4ykZV63shTHGAmk011pOGZx7YJR+tES52Wz2T8R+cVlctPJbJTD0I+7ZUDZrHrJvMcqYiWughHb76qrW5i3\/7Tqpr9e35ldelQ6RehZJvOnfMhJE+j5bVYyHCXl68b0QN\/3yNuKsnfs3+7bbw6mjTEyuq9o9ONzoEdP7a5+vSTdr+9E+N\/R7Pvo+PHNjX+z2RqR7TQIRiRrdHy2rVVVUX1aLdXEQCY08d1KNJCVzitdGSrfqrzgGUMAMACHhCKqAQjclf\/IHP4KwAwj6frsxJBMCJ\/9Q+0\/7+9+8lpK8sCOHxVG4AdBHnmEfQKipmH5VpBYAVNVtDJCpqsoGEHZOgZ7ABGnlmwA9hB6yXH0SsCAdvPfn\/O90ml7q5Bq\/u9kqVfzn3nWsYAAKzi0iWu1AkjBiF+2L55mwDAO1TLFs48KOqEEUNyEj90AACvqb5NntpAx3O20jEok\/HioJRSfXe0580CAC\/4l2ULvMTEiEGZzUf31cpNbxUAeMGpKOI1wojBiR+8U28WAKj5OpuPLjwQXiOMGKT44bOpDgAosYHOsgV+SxgxWLGp7tIbBoDUbKDjXSxfYPAm40V1tO7QmwaAdB5KKUc20PEeJkZkcGyNNwCkYy03KzExIoXJeHFUSrm2xhsA0rCWm5WYGJFC\/DAex58eAQDDZi03KxNGpBE\/kCfeOAAM2qm13KxDGJHKbD66cscRAAzWpShiXcKIdOIH85M3DwCDUkWRkyGszfIF0pqMF1UgffRPAAD03rfZfDT1GtmEiRFpxZ8quQAWAPrtzjfENMHEiPQm40X13dFf2Z8DAPRQFUXH7iqiCSZG8ONPmVwACwD9IopolIkR\/Jga7ccFsIeeBwB0XnUv4dFsPrr3qmiKiRH8+N7oMS6ANTkCgG57ikmRKKJRwgiCOAKAzltG0a1XRdMcpYNn4lhd9YP7wbMBgM4QRWyViRE8E5OjafwAAwDtE0VsnTCCF8QP77E4AoDWiSJ2QhjBK8QRALROFLEzwgh+QxwBQGtEETsljOAN4ggAdk4UsXPCCN5BHAHAzogiWiGM4J3EEQBsnSiiNcIIVhA\/1EcugQWAxokiWuWCV1hDXAJ7XUo59PwAYGOiiNaZGMEa4hLYY5MjANiYKKIThBGsSRwBwMYeRBFd4SgdbMixOgBYy11E0aPHRxcII2jIZLy4KKV89DwB4E2iiM5xlA4aMpuPTkopl54nAPyWKKKTTIygYZPx4ryU8m\/PFQB+cRl\/kAidI4xgCybjRfWj\/z\/PFgB+EkV0mqN0sAWz+aj63ujUswWA7z6JIrrOxAi2aDJeHMXGuj3PGYCkTuMPDKHThBFsmTgCIKnq4tbpbD669g8AfSCMYAfcdQRAMk8ubqVvfGMEOxArSY9LKTeeNwADV63jPhBF9I2JEeyYi2ABGLBvpZQTdxTRR8IIWmCdNwADZB03veYoHbQgtvP8HWewAaDvTkURfWdiBC2KjXVXpZQP3gMAPWTzHINhYgQtig9Tj+JDVQDok7vYPCeKGAQTI+gISxkA6JGbmBRZssBgCCPoEEsZAOiBr7P56MyLYmiEEXRMfHdUHUvY824A6JDqe6KzWCAEgyOMoIMm48VBLGU49H4A6ICHODrn0lYGSxhBh\/nuCIAO8D0RKQgj6DjfHQHQoi+z+eizF0AGwgh6wH1HAOxY9T3RyWw+uvLgycI9RtADtfuOvnlfAGxZdT\/RkSgiGxMj6JnJeFGtSP2v9wbAFljFTVrCCHrI0ToAGuboHOk5Sgc95GgdAA1ydI70iokR9J+jdQBswNE5CMIIBiCO1l24EBaAd3J0Dp5xlA4GII7WHZdSLr1PAN5QXdh6IIrgn0yMYGAm48U0pkd73i0Az3yazUfnHgr8ShjBAE3Gi\/3YWven9wtALFg4iRMGwAuEEQxYLGb4bHoEkJoFC\/AOwggGzmIGgLQeYkp07R8BeJswgiQm40U1OfqP9w2QwtfqxMBsPnr0uuF9hBEkYnoEMHimRLAmYQQJmR4BDJIpEWxAGEFSpkcAg2FKBA0QRpCc6RFAr5kSQUOEEVDF0UFMj9x7BNAPpkTQMGEE\/OTeI4Be+DKbjz57VdAsYQT8w2S82I\/p0V+eDECn3MSU6N5rgeYJI+BFk\/HiOALpgycE0KqnUsrZbD668Bpge\/7wbIGXxLn1anPdFw8IoDWXpZQDUQTbZ2IEvMlyBoCdu4spkeUKsCPCCHi3yXgxLaWcO14HsDVPsX773COG3RJGwEpiOcNZ\/GV7HUBzLmNK5E4iaIEwAtYSx+vOba8D2NhNBNGtRwntEUbARmJ7XRVIh54kwEoeIoiuPDZonzACGjEZL07icljfHwH8XvUd0blLWqFbhBHQGN8fAbzJd0TQUcIIaFwEUnW87qOnC\/Ddtwiie48DukkYAVtjQQPA98UKn93LGpVnAAAEn0lEQVRHBN0njICtiwUNn10QCyRSLVY4EUTQH8II2BmBBCTwEBOiCy8b+kUYATs3GS+mccTOBjtgKAQR9JwwAlpjxTcwAIIIBkIYAa0TSEAPCSIYGGEEdIZAAnpAEMFACSOgcyKQTixpADpEEMHACSOgs2yxAzpAEEESwgjovAikaoL00dsCdsTFrJCMMAJ6YzJeHMQESSAB23JZSrkQRJCPMAJ6ZzJe7JdSzuKvPW8Q2NBTKeUqJkT3HibkJIyAXrPJDthA9f1Q9e3Q+Ww+evQgITdhBAxCfIdUTZD+8kaBN9zEcTkLFYCfhBEwKPEd0lksa3DMDlhaHperpkO3ngrwnDACBiuO2VWRdOgtQ1rVcbnzmBA5Lge8ShgBgzcZL44ikKamSJCG7XLASoQRkEZss5uaIsFgmQ4BaxNGQEq+RYLBWH47ZDoEbEQYAelNxotpBJKNdtAfN7Fq+8p0CGiCMAIIcdTuJP5y1A66Z3lU7spFrEDThBHAC2pH7aYuj4VWPcVk6MKabWCbhBHAG2Kr3YlIgp1ZfjdUTYauPHZgF4QRwApEEmyNGAJaJYwA1iSSYGNiCOgMYQTQgFokHVvcAL\/1UIsh67WBzhBGAA2LxQ3TiCQrwKGUu1igcG2BAtBVwghgi2IF+HEtlBy5I4PqiNx1bTLkniGg84QRwA7FkbtlKP3p2TMgdxFC147IAX0kjABaUpsmHfs2iR56qE2Frk2FgL4TRgAdEaE0rYWSY3d0yTKEriOE7r0dYEiEEUBHxRKHIxMlWiKEgFSEEUBP1I7eLWPJN0o06aaUclsLIUfjgFSEEUCPxTKHo1owmSrxHstpUBVCt5YlAAgjgMGZjBfLSDoSS0QE3damQbemQQC\/EkYACUQsHTwLpj3vfnCWx+HuTYIAViOMAJKKb5aWkXQgmHrjqRY\/9zEFurccAWAzwgiAX9QmTMtg2hdNO1dNfx6fRZBjcABbIowAWElEU4mFD0U4rWU59Skx8fn5r46\/AbRDGAHQqNoRvVKLplILqTLgVeN3MeUpET7Lf7+MHUfeADpKGAHQqlg5vl\/73\/D8P7\/29+qqI38fVvz\/UZ\/avOal6U397z3O5qO3\/jsA6AFhBAAApPdH9gcAAAAgjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQ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class=\"elementor-element elementor-element-85b7f3e e-flex e-con-boxed e-con\" data-id=\"85b7f3e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d78208 elementor-widget elementor-widget-heading\" data-id=\"3d78208\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quelles sont les am\u00e9liorations apport\u00e9es par la Data Science ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6eb82d elementor-widget elementor-widget-text-editor\" data-id=\"d6eb82d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La Data Science a permis de nombreuses am\u00e9liorations dans le syst\u00e8me de recommandation de Netflix, voici quelques exemples :<\/span><b><\/b><\/p><ul><li aria-level=\"1\"><b>Personnalisation des vignettes<\/b><\/li><\/ul><p><span style=\"font-weight: 400;\">L&rsquo;utilisateur donne beaucoup de poids \u00e0 la vignette. De nombreux t\u00e9l\u00e9spectateurs peuvent d\u00e9cider de regarder ou non une certaine vid\u00e9o en fonction de sa vignette. C\u2019est pourquoi, L&rsquo;IA de Netflix <\/span><b>cr\u00e9e des vignettes<\/b><span style=\"font-weight: 400;\"> en classant et en annotant des centaines d&rsquo;images d&rsquo;un film ou d&rsquo;une \u00e9mission de t\u00e9l\u00e9vision, afin de concevoir des vignettes qui inciteront les consommateurs \u00e0 cliquer.<\/span><b><\/b><\/p><ul><li aria-level=\"1\"><b>Qualit\u00e9 de streaming optimale<\/b><\/li><\/ul><p><span style=\"font-weight: 400;\">Chaque mois, environ 220,67 millions d&rsquo;individus utilisent activement Netflix dans le monde. Dans ces conditions, fournir des vid\u00e9os de haute qualit\u00e9 \u00e0 tout le monde en m\u00eame temps devient un v\u00e9ritable d\u00e9fi. L&rsquo;IA de Netflix peut <\/span><b>pr\u00e9dire le nombre d&rsquo;abonn\u00e9s<\/b><span style=\"font-weight: 400;\"> que l&rsquo;entreprise aura \u00e0 l&rsquo;avenir gr\u00e2ce au Predicitve Modelling. En anticipant les ressources vid\u00e9o n\u00e9cessaires, Netflix am\u00e9liore la qualit\u00e9 des vid\u00e9os pour les utilisateurs, m\u00eame aux heures de pointe.<\/span><b><\/b><\/p><ul><li aria-level=\"1\"><b>Recommandation de films sur mesure<\/b><\/li><\/ul><p><span style=\"font-weight: 400;\">Les donn\u00e9es de chaque client sont uniques. Vous pouvez utiliser le m\u00eame compte Netflix dans deux endroits diff\u00e9rents, vous obtiendrez quand m\u00eame des recommandations diff\u00e9rentes. L&rsquo;IA de Netflix est \u00e0 l\u2019origine de cette prouesse. Le programme <\/span><b>recueille continuellement des donn\u00e9es<\/b><span style=\"font-weight: 400;\"> et apprend par lui-m\u00eame avec son syst\u00e8me de machine learning. La qualit\u00e9 des recommandations Netflix qui vous sont fournies augmente \u00e0 mesure que vous regardez plus de contenu sur le service.<\/span><\/p><p><b>Un syst\u00e8me de recommandation efficace<\/b><span style=\"font-weight: 400;\"> pr\u00e9dit les types de films que les t\u00e9l\u00e9spectateurs choisiront de regarder et resteront sur la plateforme. Et \u00e7a, Netflix l\u2019a bien compris.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8fd908 elementor-widget elementor-widget-image\" data-id=\"a8fd908\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1-1024x683.jpg\" class=\"attachment-large size-large wp-image-190488\" alt=\"Ecran de connexion Netflix\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1-1024x683.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1-300x200.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1-768x512.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1-1536x1024.jpg 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/laptop-g36f197346_1920-1.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5947fe0 elementor-widget elementor-widget-text-editor\" data-id=\"5947fe0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">D\u00e9sormais la Data Science permet d\u2019utiliser les donn\u00e9es de millions de personnes en temps r\u00e9el. Gr\u00e2ce \u00e0 cet exploit, les technologies peuvent anticiper le comportement de millions de personnes ou conna\u00eetre intimement les go\u00fbts de quelqu\u2019un. C\u2019est d\u2019ailleurs le cas de <\/span><a href=\"https:\/\/datascientest.com\/comment-gastrograph-ia-reduit-le-gaspillage-grace-a-sa-plateforme-web\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Gastograph AI, une plateforme regroupant les go\u00fbts de milliers de consommateurs<\/span><\/a><span style=\"font-weight: 400;\"> en m\u00eame temps. C\u2019est pourquoi, <\/span><span style=\"font-weight: 400;\">si la Data Science vous int\u00e9resse ou si vous envisagez une carri\u00e8re dedans, n\u2019h\u00e9sitez pas \u00e0 d\u00e9couvrir <\/span><a href=\"https:\/\/datascientest.com\/formations-data\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos offres de formations<\/span><\/a><span style=\"font-weight: 400;\"> et <\/span><a href=\"https:\/\/datascientest.com\/blog-data-ia-actualites\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos autres articles<\/span><\/a><span style=\"font-weight: 400;\"> sur DataScientest.<\/span><\/p><p><i><span style=\"font-weight: 400;\">Source : medium.com<\/span><\/i><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7ba984a e-flex e-con-boxed e-con\" data-id=\"7ba984a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-70eef32 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"70eef32\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos offres de formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Arriv\u00e9 en France en 2014, Netflix est l\u2019un des services de streaming les plus appr\u00e9ci\u00e9s des fran\u00e7ais. Pour s\u00e9duire ses abonn\u00e9s, le service de streaming repousse constamment les limites de son syst\u00e8me de recommandation avec de nouvelles technologies, notamment la Data Science. Une r\u00e9cente \u00e9tude montre le fonctionnement de l\u2019algorithme de ce syst\u00e8me et le [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":190486,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Comment fonctionne l\u2019algorithme de recommandation de Netflix ?<\/title>\n<meta name=\"description\" content=\"Une r\u00e9cente \u00e9tude montre le fonctionnement de l\u2019algorithme de Netflix et le raisonnement qui le pousse \u00e0 proposer un contenu plut\u00f4t qu\u2019un autre\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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