Systems and methods for generating a brand Bayesian hierarchical model with a category Bayesian hierarchical model

US10853730B2 · kind B2 · utility

Assignee

• Google LLC · US

Inventors

• Yunting Sun · Mountain View, US
• David Chan · Mountain View, US
• James Robert Koehler · Boulder, US
• Yuxue Jin · Mountain View, US
• Yueqing Wang · Wuxi, CN

Key dates

• Filing date: Sep 14, 2017
• Grant date: Dec 1, 2020
• Expiry date: Jul 16, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0242
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and computer-readable storage media that may be used to generate a category Bayesian hierarchical model. One method includes receiving a brand data set for each of a plurality of brands within a category, each brand data set comprising content input for a particular brand of the plurality of brands for a plurality of media channels at a plurality of times and a response for the particular brand of the plurality of brands at the plurality of times. The method includes determining a plurality of informative priors by generating a category Bayesian hierarchical model based on the plurality of brand data sets and a plurality of weak priors. The method further includes generating a brand Bayesian hierarchical model that models response for the particular brand for each of the plurality of media channels based on the brand data set for the particular brand and the plurality of informative priors.