{"id":5177,"date":"2015-04-13T17:26:49","date_gmt":"2015-04-13T17:26:49","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5177"},"modified":"2015-04-13T17:27:40","modified_gmt":"2015-04-13T17:27:40","slug":"professor-uses-online-data-to-predict-future-fashion-trends-0413151","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/professor-uses-online-data-to-predict-future-fashion-trends-0413151\/5177\/","title":{"rendered":"Professor Uses Online Data to Predict Future Fashion Trends"},"content":{"rendered":"UNIVERSITY PARK, Pa. &#8212; In fashion, combining contrasting fabrics, colors and textures is what brings an outfit to life. In Heng Xu\u2019s career, combining science and art has brought a new way of interpreting data to life \u2014 an innovation that might help consumers understand, follow and afford tomorrow\u2019s fashion trends. Xu, an associate professor of information sciences and technology at Penn State, is collecting and analyzing data to gain insight into the needs, motivations and behaviors of the fashion industry, retailers and consumers. Her ultimate goal is to help the average person follow the often fickle twists <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/professor-uses-online-data-to-predict-future-fashion-trends-0413151\/5177\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>UNIVERSITY PARK, Pa. &#8212; In fashion, combining contrasting fabrics, colors and textures is what brings an outfit to life. In Heng Xu\u2019s career, combining science and art has brought a new way of interpreting data to life \u2014 an innovation that might help consumers understand, follow and afford tomorrow\u2019s fashion trends. Xu, an associate professor [&hellip;]<\/p>\n","protected":false},"author":2,"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-5177","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\/5177","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=5177"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5177\/revisions"}],"predecessor-version":[{"id":5178,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5177\/revisions\/5178"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}