{"id":13015,"date":"2023-04-27T09:46:18","date_gmt":"2023-04-27T13:46:18","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13015"},"modified":"2023-04-27T09:46:18","modified_gmt":"2023-04-27T13:46:18","slug":"building-airbnb-categories-with-ml-human-in-the-loop","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-airbnb-categories-with-ml-human-in-the-loop\/13015\/","title":{"rendered":"Building Airbnb Categories with ML &#038; Human in the Loop"},"content":{"rendered":"Originally published in Medium.com\/Airbnb Tech Blog, March 22, 2023. Airbnb 2022 release\u00a0introduced Categories, a browse focused product that allows the user to seek inspiration by browsing collections of homes revolving around a common theme, such as\u00a0Lakefront, Countryside, Golf, Desert, National Parks,\u00a0Surfing, etc. In\u00a0Part I\u00a0of our Categories Blog Series we covered the high level approach to creating Categories and showcasing them in the product. In this Part II we will describe the ML Categorization work in more detail. Throughout the post we use the\u00a0Lakefront\u00a0category\u00a0as a running example to showcase the ML-powered category development process. Similar process was applied for <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-airbnb-categories-with-ml-human-in-the-loop\/13015\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Medium.com\/Airbnb Tech Blog, March 22, 2023. Airbnb 2022 release\u00a0introduced Categories, a browse focused product that allows the user to seek inspiration by browsing collections of homes revolving around a common theme, such as\u00a0Lakefront, Countryside, Golf, Desert, National Parks,\u00a0Surfing, etc. In\u00a0Part I\u00a0of our Categories Blog Series we covered the high level approach to [&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":[879,368,230,243,8],"class_list":["post-13015","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-data-analytics","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13015","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=13015"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13015\/revisions"}],"predecessor-version":[{"id":13017,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13015\/revisions\/13017"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13015"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13015"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}