Building a social graph with sharing activity between users of the open web
作者： Dimitri Vaynblat , Gurbaksh Chahal
DOI:
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摘要: A social graph is built which includes interactions, sharing activity, and connections between the users of open Web can be used to improve ad targeting content personalization. Sharing activity two will affect ads or that both presented while surfing Web. This sending links, videos, files, cutting pasting content, text messages, e-mails.
lens.org 参考文章(26)
Howard Jaffe, Consumer group buying through online ads ,(2010)
Ben Anderson, Bradley Young, Ben Straley, Filiberto Selvas, Targeting advertising based on tracking content sharing ,(2012)
Sam Zaid, Tariq Zaid, Gary Linscott, Adam Becevello, Paul Lem, System and method for anonymous addressing of content on network peers and for private peer-to-peer file sharing ,(2009)
Jessica E. Zahn, Thomas C. Butcher, Social network rewards ,(2010)
Bob Purvy, H. Hadon Nash, Carl S. Shapiro, Tania Bedrax-Weiss, Endorsements used in ranking ads ,(2010)
George Perantatos, Ilya Tumanov, John Wana, Brian R. Meyers, Automatic social graph calculation ,(2011)
Paul Elliott, Dare Obasanjo, Bhupinder Singh Sethi, Omar Shahine, Integrating updates into a social-networking service ,(2010)