SYSTEMS AND METHODS FOR REWARD PREDICTION AND OFFER SELECTION

Methods and systems predict a reward resulting from serving one of a set of offers to one or more potential respondents, for example via a webpage, using one or more processors to calculate a predicted reward according to a model. The model may include one or more variables characterizing the respondent, a set of offer-specific coefficients comprising at least one coefficient for each of said one or more variables for each offer, and a set of common coefficients comprising a separate coefficient for each of said one or more variables, each coefficient of said set of common coefficients being common to all of said offers. The model may be trained in a two stage update process including a first update operation updating at least one common coefficient and a second update operation updating at least one offer-specific coefficient.