{"id":12960,"date":"2023-04-04T11:53:32","date_gmt":"2023-04-04T15:53:32","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12960"},"modified":"2023-04-04T11:53:32","modified_gmt":"2023-04-04T15:53:32","slug":"the-complex-math-of-counterfactuals-could-help-spotify-pick-your-next-favorite-song","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-complex-math-of-counterfactuals-could-help-spotify-pick-your-next-favorite-song\/12960\/","title":{"rendered":"The Complex Math of Counterfactuals Could Help Spotify Pick Your Next Favorite Song"},"content":{"rendered":"Originally published in MIT Technology Review, April 4, 2023. A new kind of machine-learning model built by a team of researchers at the music-streaming firm Spotify captures for the first time the complex math behind counterfactual analysis, a precise technique that can be used to identify the causes of past events and\u00a0predict the effects of future ones. The model,\u00a0described earlier this year in the scientific journal Nature Machine Intelligence, could improve the accuracy of automated decision making, especially personalized recommendations, in a range of applications from finance to health care. The basic idea behind counterfactuals is to ask <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-complex-math-of-counterfactuals-could-help-spotify-pick-your-next-favorite-song\/12960\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in MIT Technology Review, April 4, 2023. A new kind of machine-learning model built by a team of researchers at the music-streaming firm Spotify captures for the first time the complex math behind counterfactual analysis, a precise technique that can be used to identify the causes of past events and\u00a0predict the effects of [&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":[879,368,791,243,1074,8],"class_list":["post-12960","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-deep-learning","tag-machine-learning","tag-machine-learning-analytics","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12960","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=12960"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12960\/revisions"}],"predecessor-version":[{"id":12961,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12960\/revisions\/12961"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}