Abstract: A computer-implemented method includes: receiving, by a computing device, sensor data relating to the attributes of garment worn by a user; determining, by the computing device, the attributes of the garment based on receiving the sensor data; determining, by the computing device, the user's shopping interest based on determining the attributes of the garment; generating, by the computing device, a targeted advertisement based on the user's shopping interest; and outputting, by the computing device, the targeted advertisement for display at a merchant facility.

Abstract: A computer-implemented method comprises: generating, by a computing device, a computer-accessible corpus including evidence passage generation information; storing, by the computing device, the corpus; automatically generating, by the computing device, evidence passages that support a proposer's response to a customer's proposal request, wherein the evidence passages include a narrative identifying the proposer's capabilities to satisfy evaluation criteria in the proposal request, and wherein the narrative is based on customer-specific information, wherein the generating includes accessing and searching the corpus via an application programming interface (API); and outputting, by the computing device, the evidence passages as an electronic document that is editable via software running on a user device via a user interface.

Abstract: A computer-implemented method comprises: generating, by a computing device, a computer-accessible corpus including evidence passage generation information; storing, by the computing device, the corpus; automatically generating, by the computing device, evidence passages that support a proposer's response to a customer's proposal request, wherein the evidence passages include a narrative identifying the proposer's capabilities to satisfy evaluation criteria in the proposal request, and wherein the narrative is based on customer-specific information, wherein the generating includes accessing and searching the corpus via an application programming interface (API); and outputting, by the computing device, the evidence passages as an electronic document that is editable via software running on a user device via a user interface.

Abstract: A computer-implemented method includes: receiving, by a computing device, sensor data relating to the attributes of garment worn by a user; determining, by the computing device, the attributes of the garment based on receiving the sensor data; determining, by the computing device, the user's shopping interest based on determining the attributes of the garment; generating, by the computing device, a targeted advertisement based on the user's shopping interest; and outputting, by the computing device, the targeted advertisement for display at a merchant facility.

Abstract: Relational data base concepts are employed to establish many-to-many relationships amongst components which are ultimately used to supply position and size information for elements appearing in a graphical data structure. This method also facilitates the management of the production of sets of graphical business charts and/or other graphical information including architectural plans, other real world models, and even three-dimensional graphic components. A method for implicit association is established so that components are not manually related to one another, but rather by interpretation of relational data contained in a set of tables. Accordingly, a method is provided to reduce redundant specification, storage and effort usually found in business tools and applications that automate the production of business charts.