Walmart Inc.
METHOD AND SYSTEM FOR DATA DRIVEN PERSONALIZATION

Abstract:

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform tracking, using the one or more processors, usage history of a user; creating training data from the usage history of the user; training a predictive algorithm on the training data; for each respective promotion in a plurality of promotions: assigning a respective weight to the respective promotion of the plurality of promotions by using the predictive algorithm, as trained; after a predetermined time period has elapsed, updating the usage history of the user; re-training the predictive algorithm, as trained, on the usage history of the user, as updated; for each respective promotion in the plurality of promotions: assigning a new respective weight to the respective promotion of the plurality of promotions using the predictive algorithm, as trained and re-trained; and coordinating displaying at least one respective promotion from the plurality of promotions based on the new respective weight, as assigned, for the at least one respective promotion. Other embodiments are disclosed herein.