Attention application user classification privacy
AssigneeBrave Software, Inc.
InventorsBrendan EICH, Luke Mulks, Benjamin Livshits, Yan Zhu, Mandar Shinde, Nejc Zdovc, Brian Johnson
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AssigneeBrave Software, Inc.
InventorsBrendan EICH, Luke Mulks, Benjamin Livshits, Yan Zhu, Mandar Shinde, Nejc Zdovc, Brian Johnson
Estimating the term…
Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.
A method of privacy user classification, the method comprising:
A attention application advertisement delivery system, the system comprising:
A method of privacy user classification, the method comprising:
The method of claim 16, wherein the ads in the catalog do not include persistent state trackers.
Dependencies are inferred from the claim text.