{"id":12556,"date":"2022-04-05T13:08:37","date_gmt":"2022-04-05T17:08:37","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12556"},"modified":"2022-04-05T13:08:55","modified_gmt":"2022-04-05T17:08:55","slug":"how-linkedin-personalized-performance-for-millions-of-members-using-tensorflow-js","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-linkedin-personalized-performance-for-millions-of-members-using-tensorflow-js\/12556\/","title":{"rendered":"How LinkedIn Personalized Performance for Millions of Members Using Tensorflow.js"},"content":{"rendered":"Originally published in the TensorFlow Blog, March 29, 2022. The Performance team at LinkedIn optimizes latency to load web and mobile pages. Faster sites improve customer engagement and eventually revenue to LinkedIn. This concept is\u00a0well documented by many other companies too\u00a0who have had similar experiences but how do you define the optimal trade off between page load times and engagement? The relationship between speed and engagement is non-linear. Fast loading sites, after a point, may not increase engagement by further reducing their load times. At LinkedIn we have used this relationship between engagement and speed to selectively customize <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-linkedin-personalized-performance-for-millions-of-members-using-tensorflow-js\/12556\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in the TensorFlow Blog, March 29, 2022. The Performance team at LinkedIn optimizes latency to load web and mobile pages. Faster sites improve customer engagement and eventually revenue to LinkedIn. This concept is\u00a0well documented by many other companies too\u00a0who have had similar experiences but how do you define the optimal trade off between [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-12556","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12556","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12556"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12556\/revisions"}],"predecessor-version":[{"id":12558,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12556\/revisions\/12558"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12556"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12556"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12556"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}