Abstract: A method includes detecting interaction with a user interface element corresponding to an app on a touch screen and displaying a different version of the user interface element responsive to the detected interaction.

Abstract: A method includes observing via a camera of a device and a gaze tracking function that a user is looking at a transient message displayed on a display screen of a device, determining a time to remove the transient message from the display screen as a function of the observing, and removing the transient message as a function of the determined time.

Abstract: A method includes tracking user interaction with a device, correlating tracked interactions with a feature not yet enabled on the device, and providing the user with a task to enable the feature on the device.

Abstract: A method includes detecting interaction with a user interface element corresponding to an app on a touch screen and displaying a different version of the user interface element responsive to the detected interaction.

Abstract: A method includes observing via a camera of a device and a gaze tracking function that a user is looking at a transient message displayed on a display screen of a device, determining a time to remove the transient message from the display screen as a function of the observing, and removing the transient message as a function of the determined time.

Abstract: An advertisement placement method and system for relating an advertisement to a dataset based on a trainable semantic vector (TSV) associated with the dataset and respective semantic representations of the advertisements. The trainable semantic vector associated with the dataset is generated based on at least one data point included in the dataset and known relationships between predetermined data points and predetermined categories. A comparison process is performed to determine a similarity between the trainable semantic vector associated with the dataset and the semantic representation associated with each of the plurality of advertisements. The system selectively relates one or more of the advertisements with the dataset based on a result of the comparison process. The selected advertisement or advertisements may be displayed with the dataset.

Abstract: A computer-implemented method for planning and implementing the ordering of component parts provides for inputs customers ordering products and from suppliers, indicating whether they can supply component parts to meet net demand levels during specified time periods. The planning method is performed on an ongoing basis, such as on a weekly basis with data being prepared for the current week and for the next twelve weeks. The method is particularly adapted to be used for a number of fixed configuration products and additionally for a number of configure-to-order products, the configuration of which is specified in customer orders.