Location event advertising

作者: Scott Hannan

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摘要: Information about physical places is gathered to develop quality scores for targeting advertisements users of mobile devices sharing geographic location events with service providers. A scoring model incorporates selected attributes (e.g., created by a provider vs. user-generated, category, keywords, census data providing population density location, property values area, popularity, special events, government private whether place associated brand, chain, or independent) that have been from multiple sources, verified, and normalized. Advertisements are targeted running applications based on event shared the using score indicated in addition other place. In one embodiment, system uses machine learning algorithm analyze conversion rates advertising provide feedback model.

参考文章(20)
Keith R. Walker, Anne R. Sand, Clifford A. Pickover, Brian M. O'Connell, A. Hamilton Ii Rick, Method and system for automatic optimal advertising determination within a virtual universe ,(2008)
Chamath Palihapitiya, Matthew Nicholas Papakipos, David Edward Braginsky, Dynamic recommendation in geo-social networking system ,(2011)
Andrew Vincent Bittman, Robin Michel Harkins, Systems and methods for advertising ,(2008)
Kunal Kandekar, Christopher M. Amidon, John Forese, Hugh Svendsen, Eugene Matthew Farrelly, User generated photo ads used as status updates ,(2011)
Ross J. Boyert, Kristen K. Boyert, Distribution system and method ,(2001)