Abstract: Multitask learning is applied to predict a customer's propensity to purchase an item within a particular category of items. Then, the network is tuned using transfer learning for a specific promotional campaign. Retail revenue and promotional revenue are jointly optimized, conditioned on customer trust. Accordingly, a particular promotional program may be selected that is specific to the user.

Abstract: Multitask learning is applied to predict a customer's propensity to purchase an item within a particular category of items. Then, the network is tuned using transfer learning for a specific promotional campaign. Retail revenue and promotional revenue are jointly optimized, conditioned on customer trust. Accordingly, a particular promotional program may be selected that is specific to the user.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to alert management and provide a method, system and computer program product for adaptive alert management. In one embodiment of the invention, an adaptive alert management data processing system can include an alert server and multiple different alert monitors disposed in corresponding application hosts. Each of the alert monitors can be configured to establish a subscription to the alert server on behalf of at least one application view of an application issuing alerts. Finally, the system can include multiple different filter rules accessible by the alert server. Each of the filter rules can specify whether or not to suppress or display an alert received in the alert server.