US10853730B2
патент
(57 ) Systems , methods, and computer -readable storage media that may be used to generate a category Bayesian hierarchi cal 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 infor mative 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 gen erating 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. 20 Claims , 37 Drawing Sheets
Притязаний: 15. Знаков текста: 178 201.