Abstract: An example system and method for managing behavior change applications for mobile users is disclosed. In an embodiment of the system and method, data on a plurality of users in a behavioral change program is received from a plurality of devices operating in a communications network. The data is used to determine plurality of user segments. Each user of the plurality of users is classified into a one of the plurality of user segments. Then a plurality of behavioral models is determined, where each of the plurality of behavioral models comprises a statistical model of relations between behaviors of users within a corresponding one of the plurality of user segments. An intervention model is then determined for a user, where the intervention model is based on a behavior model of the user segment to which the user belongs. Interventions are then sent to a device of the user according to the intervention model.

Abstract: An example system and method for managing behavior change applications for mobile users is disclosed. In an embodiment of the system and method, data on a plurality of users in a behavioral change program is received from a plurality of devices operating in a communications network. The data is used to determine plurality of user segments. Each user of the plurality of users is classified into a one of the plurality of user segments. Then a plurality of behavioral models is determined, where each of the plurality of behavioral models comprises a statistical model of relations between behaviors of users within a corresponding one of the plurality of user segments. An intervention model is then determined for a user, where the intervention model is based on a behavior model of the user segment to which the user belongs. Interventions are then sent to a device of the user according to the intervention model.

Abstract: Items may be displayed on a selection list and at least a portion of a virtual wheel displayed on a user interface. The selection list and virtual wheel may be configured to operate in conjunction with one another. The virtual wheel may be rotationally repositioned by a first input received at the user interface to change items displayed concurrently with the rotation of the virtual wheel. A second input received at the user interface may be used to select one of the items displayed on the at least a portion of the virtual wheel as a selection associated with an item displayed on the selection list for further processing. As selections are made on the virtual wheel the selection list displays selections being made to provide a status of activity using the virtual wheel.

Abstract: An example system and method for managing behavior change applications for mobile users is disclosed. In an embodiment of the system and method, data on a plurality of users in a behavioral change program is received from a plurality of devices operating in a communications network. The data is used to determine plurality of user segments. Each user of the plurality of users is classified into a one of the plurality of user segments. Then a plurality of behavioral models is determined, where each of the plurality of behavioral models comprises a statistical model of relations between behaviors of users within a corresponding one of the plurality of user segments. An intervention model is then determined for a user, where the intervention model is based on a behavior model of the user segment to which the user belongs. Interventions are then sent to a device of the user according to the intervention model.

Abstract: A system and method for assisting a customer in choosing among commodities based on a business profile of the customer that includes asking the customer for a definition of its business; searching a decision rules database and applying decision rules to the business definition; creating a set of business requirement questions based upon the applied decision rules database; answering the set of business requirement questions by the customer; implementing a business rule filter to the answers of the set of business requirement questions; recommending to the customer commodity types based upon the business rule implementation; and optimizing the recommended commodity types to find the best value commodity, which can be a product or service.

Abstract: A system and method for assisting a customer in choosing a combination of commodities based on preferences of the customer. A combination is a set of related commodities, wherein bundling discounts may be applied to particular bundles of related commodities. Combination options are created by optimizing the categories within the combination in parallel, and then selecting the best value options from each category into a grouping. The effective cost of a grouping is calculated as a total of the effective costs of each option within the grouping. The effective costs consider weighted values of performance features in addition to the actual cost of a commodity. The groupings are ranked and presented to the user, so that the user may select a grouping as combination of commodities for purchase.

Abstract: A system and method for assisting a customer in choosing a combination of commodities based on preferences of the customer. A combination is a set of related commodities, wherein bundling discounts may be applied to particular bundles of related commodities. Combination options are created by optimizing the categories within the combination in parallel, and then selecting the best value options from each category into a grouping. The effective cost of a grouping is calculated as a total of the effective costs of each option within the grouping. The effective costs consider weighted values of performance features in addition to the actual cost of a commodity. The groupings are ranked and presented to the user, so that the user may select a grouping as combination of commodities for purchase.

Abstract: A system and method for assisting a customer in choosing a combination of commodities based on preferences of the customer. A combination is a set of related commodities, wherein bundling discounts may be applied to particular bundles of related commodities. Combination options are created by optimizing the categories within the combination in parallel, and then selecting the best value options from each category into a grouping. The effective cost of a grouping is calculated as a total of the effective costs of each option within the grouping. The effective costs consider weighted values of performance features in addition to the actual cost of a commodity. The groupings are ranked and presented to the user, so that the user may select a grouping as combination of commodities for purchase.

Abstract: A system and method for assisting a customer in choosing among commodities based on a business profile of the customer that includes asking the customer for a definition of its business; searching a decision rules database and applying decision rules to the business definition; creating a set of business requirement questions based upon the applied decision rules database; answering the set of business requirement questions by the customer; implementing a business rule filter to the answers of the set of business requirement questions; recommending to the customer commodity types based upon the business rule implementation; and optimizing the recommended commodity types to find the best value commodity, which can be a product or service.