{"id":473577,"date":"2018-03-19T10:09:07","date_gmt":"2018-03-19T17:09:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=473577"},"modified":"2018-04-24T15:08:33","modified_gmt":"2018-04-24T22:08:33","slug":"adminer","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/adminer\/","title":{"rendered":"AdMiner"},"content":{"rendered":"<h2>Measuring TV Ad Effectiveness AI for Audience Engagement<\/h2>\n<p>Tools to measure and improve effectiveness of cross-channel advertising , by enabling advertisers to better coordinate their marketing efforts across TV, digital and search.\u00a0 Predictive models of consumer behavior based on cross-company data capturing user habits from search (Bing\/Cortana), browsing (Edge), TV viewing\u00a0 (Xbox), and purchasing (Universal Store).<\/p>\n<p>&nbsp;<\/p>\n<h2>Slides<\/h2>\n<ul id='gallery-1' class='gallery galleryid-473577 gallery-columns-4 gallery-size-grid-third stripped ms-row fixed-small'><li class='s-col-6-24 xs-margin-bottom-sp1 s-margin-bottom-sp2'><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/1.png\" data-mfp-src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/1.png\" data-caption=\"\" class=\"gallery-item\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/1-480x280.png\" alt=\"\" class=\"db full-width\" \/><\/a><\/li><li class='s-col-6-24 xs-margin-bottom-sp1 s-margin-bottom-sp2'><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/2.png\" data-mfp-src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/2.png\" data-caption=\"\" class=\"gallery-item\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/2-480x280.png\" alt=\"\" class=\"db full-width\" \/><\/a><\/li><li class='s-col-6-24 xs-margin-bottom-sp1 s-margin-bottom-sp2'><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/3.png\" data-mfp-src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/3.png\" data-caption=\"\" class=\"gallery-item\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/3-480x280.png\" alt=\"\" class=\"db full-width\" \/><\/a><\/li><li class='s-col-6-24 xs-margin-bottom-sp1 s-margin-bottom-sp2'><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/4.png\" data-mfp-src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/4.png\" data-caption=\"\" class=\"gallery-item\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/4-480x280.png\" alt=\"\" class=\"db full-width\" \/><\/a><\/li><br style=\"clear: both\" \/>\n\t\t<\/ul>\n\n<h2>Videos<\/h2>\n<h3 style=\"text-align: center\">How Data Mining Can Help Advertisers Hit Their Targets<\/h3>\n<p><iframe loading=\"lazy\" title=\"How Data Mining Can Help Advertisers Hit Their Targets\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/NGoG324coZ8?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h3 style=\"text-align: center\"><\/h3>\n<h3 style=\"text-align: center\">TV and Distraction<\/h3>\n<p><iframe loading=\"lazy\" title=\"How Increased TV Watching Impacts E-commerce\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/dMN5urA206w?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<h2>Demo<\/h2>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.dropbox.com\/s\/p0gptgqi2d0bqrt\/AdMiner3.mp4?dl=0\">Prototype<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/event.on24.com\/eventRegistration\/EventLobbyServlet?target=reg20.jsp&referrer=&eventid=1356552&sessionid=1&key=3F2148379D4003D715F39D2C1D98DDDC&regTag=&sourcepage=register\">Webinar<\/a><\/p>\n<p>Feel free to <a href=\"mailto:TvAds921@service.microsoft.com?Subject=Request%20Demo\">request a demo<\/a><\/p>\n<p>&nbsp;<\/p>\n<h2>Media<\/h2>\n<ul id='gallery-2' class='gallery galleryid-473577 gallery-columns-1 gallery-size-medium stripped ms-row fixed-small'><li class=' xs-margin-bottom-sp1 s-margin-bottom-sp2'><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/poster1.png\" data-mfp-src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/poster1.png\" data-caption=\"\" class=\"gallery-item\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/03\/poster1-225x300.png\" alt=\"\" class=\"db full-width\" \/><\/a><\/li><br style=\"clear: both\" \/>\n\t\t<\/ul>\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Measuring TV Ad Effectiveness AI for Audience Engagement Tools to measure and improve effectiveness of cross-channel advertising , by enabling advertisers to better coordinate their marketing efforts across TV, digital and search.\u00a0 Predictive models of consumer behavior based on cross-company data capturing user habits from search (Bing\/Cortana), browsing (Edge), TV viewing\u00a0 (Xbox), and purchasing (Universal [&hellip;]<\/p>\n","protected":false},"featured_media":474990,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-473577","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2016-03-07","related-publications":[238073],"related-downloads":[],"related-videos":[],"related-groups":[144903],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[{"attachment_id":474465,"headline":"","cta":"","url":"","cta_style":"","slideshow_type":"feature"},{"attachment_id":474528,"headline":"","cta":"Contact Team","url":"mailto:TvAds921@service.microsoft.com?Subject=Hi%20Team","cta_style":"","slideshow_type":"feature"},{"attachment_id":474252,"headline":"AdMiner","cta":"Request a demo today","url":"mailto:TvAds921@service.microsoft.com?Subject=Request%20Demo","cta_style":"","slideshow_type":"feature"}],"related-researchers":[{"type":"user_nicename","display_name":"Keith Battocchi","user_id":36548,"people_section":"Core Team","alias":"kebatt"},{"type":"user_nicename","display_name":"Kevin Gao","user_id":35374,"people_section":"Core Team","alias":"kevingao@microsoft.com"},{"type":"user_nicename","display_name":"David Rothschild","user_id":31566,"people_section":"Affiliates","alias":"davidmr"},{"type":"user_nicename","display_name":"Chinmay Singh","user_id":36750,"people_section":"Affiliates","alias":"chsingh"},{"type":"user_nicename","display_name":"Sharon Gillett","user_id":33599,"people_section":"Affiliates","alias":"sharong"},{"type":"guest","display_name":"Victor Heymeyer","user_id":474228,"people_section":"Affiliates","alias":""},{"type":"guest","display_name":"Gordon Burtch","user_id":474216,"people_section":"Affiliates","alias":""},{"type":"guest","display_name":"Michael Barto","user_id":474237,"people_section":"Affiliates","alias":""},{"type":"guest","display_name":"Andrey Siminov","user_id":474240,"people_section":"Affiliates","alias":""},{"type":"guest","display_name":"Kelly Buckley","user_id":476514,"people_section":"Affiliates","alias":""}],"msr_research_lab":[199571],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/473577"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":34,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/473577\/revisions"}],"predecessor-version":[{"id":482517,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/473577\/revisions\/482517"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/474990"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=473577"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=473577"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=473577"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=473577"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=473577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}