{"id":13271,"date":"2022-01-01T00:00:00","date_gmt":"2022-01-01T08:00:00","guid":{"rendered":"https:\/\/www.hmc.edu\/clinic\/?p=13271"},"modified":"2022-05-16T09:11:01","modified_gmt":"2022-05-16T16:11:01","slug":"image-similarity-in-powerpoint-designer","status":"publish","type":"post","link":"https:\/\/www.hmc.edu\/clinic\/2022\/image-similarity-in-powerpoint-designer\/","title":{"rendered":"Image Similarity in PowerPoint Designer"},"content":{"rendered":"<h2 class=\"project-sponsor-dept-year\"><span class=\"project-sponsor\">Microsoft<\/span> <span class=\"project-dept-year\">Computer Science, 2021\u201322<\/span><\/h2>\n<div class=\"project-team\">\n<p><strong>Liaison(s):<\/strong> Michael Bentley, Jon Ko, Sarah Stein &#8217;12<br \/>\n<strong>Advisor(s):<\/strong> Calden Wloka<br \/>\n<strong>Students(s):<\/strong> Devika Chipalkatti (PM-F), Emily Lu (PM-S), Ben Lucero, Sofiane Dissem, Swamik Lamichhane, Kendah Abughararh<\/p>\n<\/div>\n<div class=\"project-abstract\">\n<p>Microsoft\u2019s PowerPoint Designer suggests slide templates and images based on user input and historical customer data. Occasionally Microsoft purchases new images, but these images are difficult to recommend because they lack user data. Our goal is to aid Microsoft in diversifying image recommendations by providing a method for ranking image similarity between new images and images that have user data. The team explores machine learning and clustering techniques in an effort to recognize both concrete and abstract features that can be shared between images.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft Computer Science, 2021\u201322 Liaison(s): Michael Bentley, Jon Ko, Sarah Stein &#8217;12 Advisor(s): Calden Wloka Students(s): Devika Chipalkatti (PM-F), Emily [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[140],"tags":[604],"class_list":["post-13271","post","type-post","status-publish","format-standard","hentry","category-computer-science","tag-microsoft"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/13271","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/comments?post=13271"}],"version-history":[{"count":1,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/13271\/revisions"}],"predecessor-version":[{"id":13306,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/13271\/revisions\/13306"}],"wp:attachment":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/media?parent=13271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/categories?post=13271"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/tags?post=13271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}