{"id":2215,"date":"2014-01-13T10:23:31","date_gmt":"2014-01-13T10:23:31","guid":{"rendered":"http:\/\/leapfrog.nl\/blog\/archives\/2014\/01\/13\/were-gonna-tag-how-much-romance-is-in-a-movie\/"},"modified":"2015-01-04T17:06:54","modified_gmt":"2015-01-04T16:06:54","slug":"were-gonna-tag-how-much-romance-is-in-a-movie","status":"publish","type":"post","link":"https:\/\/leapfrog.nl\/blog\/archives\/2014\/01\/13\/were-gonna-tag-how-much-romance-is-in-a-movie\/","title":{"rendered":""},"content":{"rendered":"<blockquote>We\u2019re gonna tag how much romance is in a movie. We\u2019re not gonna tell you how much romance is in it, but we\u2019re gonna recommend it,&#8221; Yellin said. &#8220;You\u2019re gonna get an action row and it may have more or less romance in it based on what we know about you.&#8221; [\u2026] They could have purely used computation. For example, looking at people with similar viewing habits and recommending movies based on what they watched. (And Netflix does use this kind of data, too.) But they went beyond that approach to look at the content itself. &#8220;It\u2019s a real combination: machine-learned, algorithms, algorithmic syntax,&#8221; Yellin said, &#8220;and also a bunch of geeks who love this stuff going deep.<\/blockquote>\n<div class=\"attribution\"><a href=\"http:\/\/www.theatlantic.com\/technology\/archive\/2014\/01\/how-netflix-reverse-engineered-hollywood\/282679\/\">How Netflix Reverse Engineered Hollywood &#8211; Alexis C. Madrigal &#8211; The Atlantic<\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>We\u2019re gonna tag how much romance is in a movie. We\u2019re not gonna tell you how much romance is in it, but we\u2019re gonna recommend it,&#8221; Yellin said. &#8220;You\u2019re gonna get an action row and it may have more or less romance in it based on what we know about you.&#8221; [\u2026] They could have &hellip; <a href=\"https:\/\/leapfrog.nl\/blog\/archives\/2014\/01\/13\/were-gonna-tag-how-much-romance-is-in-a-movie\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\"><\/span><\/a><\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"quote","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[983],"tags":[],"class_list":["post-2215","post","type-post","status-publish","format-quote","hentry","category-tumblr","post_format-post-format-quote"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/posts\/2215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/comments?post=2215"}],"version-history":[{"count":1,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/posts\/2215\/revisions"}],"predecessor-version":[{"id":2536,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/posts\/2215\/revisions\/2536"}],"wp:attachment":[{"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/media?parent=2215"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/categories?post=2215"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/leapfrog.nl\/blog\/wp-json\/wp\/v2\/tags?post=2215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}