advertising landscape using real data / online ad in1 / online privacy / advertising model / advertising revenues / Web site visits / Online advertising / conventional media / Online Aggregation / Web ecosystem / privacy solution / large Web traces / behavioral advertising / data mining algorithms / media-placement strategies / online advertising revenue / advertising effectiveness / advertising decision solutions / Web-bugs / online ads / online consumer decision making / web traffic / social networks / role online ads / actual online ad ecosystem / access Web content / advertising literature / advertising ecosystem / visited publisher / Web services1 / Internet Advertising / Web site frames / advertising revenue / prime/reputable site / Web page placements / behavioral advertising practices / interactive advertising model / eyeball internet service providers / university Web traces / advertising entities / ad-networks / online advertising ecosystem / online tracking / online search / ad network / data management / behavioral targeting help online advertising / advertising professionals / web search / Internet measurement conference / targeted online advertisements / targeted advertising / mobile advertising / Web services / online aggregators / /
OperatingSystem
Android / /
Organization
Columbia University / Networked Society / HTTP−users HTTP−aggregators mHTTP−users mHTTP−aggregators Univ−users Univ / IMC / U.S. Securities and Exchange Commission / HTTP mHTTP Univ / /
Person
John Byers / Pablo Rodriguez / M. Jacobsen / Martin Arlitt / Jonathan Smith / Glenn Ellison / Dina Papagiannaki / C. S. Lui / V / Craig Partridge / Georgios Siganos / /
Position
General / dominant player / A. Hunter / /
Product
values / AdMob Microsoft 1 10 20 / Content-Type / StreamStructure / Microsoft Omniture Yahoo! / /
ProgrammingLanguage
Javascript / /
PublishedMedium
New York Times / /
Technology
html / Android / PDF / cellular telephone / DNS / data mining algorithms / HTTP / /