Abstract: A specification of a client-side user interface behavior for a view of a computer application is received from a representative of an organization. The received specification is stored. A request for content of the view is received via a network from the computer application associated with a user that belongs to the organization. The received specification is identified as being associated with the requested content of the view. The requested content of the view and an identifier of the identified specification of the client-side user interface behavior are provided via the network. The computer application utilizes the received identifier of the identified specification of the client-side user interface behavior to modify the view of the computer application.

Abstract: A specification of a client-side user interface behavior for a view of a computer application is received from a representative of an organization. The received specification is stored. A request for content of the view is received via a network from the computer application associated with a user that belongs to the organization. The received specification is identified as being associated with the requested content of the view. The requested content of the view and an identifier of the identified specification of the client-side user interface behavior are provided via the network. The computer application utilizes the received identifier of the identified specification of the client-side user interface behavior to modify the view of the computer application.

Abstract: This disclosure relates to customizing deployment of an application to a user interface of a client device. An exemplary method generally includes training a model based on historical context information of a plurality of users by identifying correlations between the historical context information and a plurality of widgets and storing the correlations in the model. The method further includes receiving context information from the client device. The method further includes determining a user intent based on the context information using the model. The method further includes selecting one or more widgets to include in a custom user interface definition based, at least in part, on the user intent. The method further includes transmitting, to the user interface of the client device, the custom user interface definition.

Abstract: This disclosure relates to customizing deployment of an application to a user interface of a client device. An exemplary method includes training a model based on historical context information of a plurality of users by identifying correlations between the historical context information and a plurality of user interface components. The method further includes receiving context information from the client device. The method further includes determining a user intent based on the context information using the model. The method further includes customizing one or more widgets by selecting one or more user interface components to include in the one or more widgets based on the user intent. The method further includes generating a custom user interface definition comprising the one or more widgets. The method further includes transmitting, to the user interface of the client device, the custom user interface definition.

Abstract: This disclosure relates to customizing deployment of an application to a user interface of a client device. An exemplary method generally includes training a model based on historical context information of a plurality of users by identifying correlations between the historical context information and a plurality of widgets and storing the correlations in the model. The method further includes receiving context information from the client device. The method further includes determining a user intent based on the context information using the model. The method further includes selecting one or more widgets to include in a custom user interface definition based, at least in part, on the user intent. The method further includes transmitting, to the user interface of the client device, the custom user interface definition.

Abstract: This disclosure relates to customizing deployment of an application to a user interface of a client device. An exemplary method generally includes training a model based on historical context information of a plurality of users by identifying correlations between the historical context information and a plurality of widgets and storing the correlations in the model. The method further includes receiving context information from the client device. The method further includes determining a user intent based on the context information using the model. The method further includes selecting one or more widgets to include in a custom user interface definition based, at least in part, on the user intent. The method further includes transmitting, to the user interface of the client device, the custom user interface definition.

Abstract: Mechanisms for natively rendering and optimizing Internet contents on different displays of mobile computing devices receive screen description for a webpage from a server supporting a Web server hosting a software application and prepare and transmit an inquiry to multiple painters to inquire whether these painters have native capability and functionality to paint a single screen for optimal viewing experiences on displays of mobile computing devices having different sizes or resolutions. A receiving painter includes its own decision mechanism to respond to the inquiry either affirmatively or negatively. A painter is selected from one or more painters receiving the inquiry and responding affirmatively. When no receiving painters respond affirmatively to the inquiry, a web view screen painter is selected to paint the screen on a mobile communication device display in a way that the screen resembles or appears exactly like the webpage when displayed on a computer display.

Abstract: Mechanisms for natively rendering and optimizing Internet contents on different displays of mobile communication devices receive screen description for a webpage from a server supporting a Web server hosting a software application and prepare and transmit an inquiry to multiple painters to inquire whether these painters have native capability and functionality to paint a single screen for optimal viewing experiences on displays of mobile communication devices having different sizes or resolutions. A receiving painter includes its own decision mechanism to respond to the inquiry either affirmatively or negatively. A painter is selected from one or more painters receiving the inquiry and responding affirmatively. When no receiving painters respond affirmatively to the inquiry, a web view screen painter is selected to paint the screen on a mobile communication device display in a way that the screen resembles or appears exactly like the webpage when displayed on a computer display.