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US Patent 10262336 Non-converting publisher attribution weighting and analytics server and method

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10262336
Date of Patent
April 16, 2019
Patent Application Number
15262011
Date Filed
September 12, 2016
Patent Citations Received
‌
US Patent 11348029 Transformation of machine learning models for computing hubs
‌
US Patent 10679205 Systems and methods regarding point-of-recognition optimization of onsite user purchases at a physical location
Patent Primary Examiner
‌
Alvin L Brown
Patent abstract

A method of an attribution server. The method determines publishing channels for advertisements in a marketing campaign to analyze their marketing effectiveness for purchasable items using a processor and a memory of the attribution server. Data points are associated with users. A K-th order attribution model is constructed. Independent and dependent variables of the attribution model are associated with various types of marketing data. An observation matrix and a conversion vector are determined. A regression analysis is performed with refining steps. Insignificant second order cross terms of the attribution model are identified and removed. A modified K-th order attribution model is constructed. Another regression analysis is performed to find optimal model parameters. The attribution server computes attribution scores associated with the publishing channels based on the attribution models and the optimal model parameters from regressions, and communicates the attribution scores to a marketer client through a network upon a request.

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