Abstract: User interactions with presented content can be tracked and a corresponding user behavior identified. An enhancement trigger can be detected by comparing the user behavior with a pattern of behavior associated with the enhancement trigger. A modified experience can be provided at the user device. The modified experience can include a user interface for interacting with a chat bot.

Abstract: Various entities may require their employees to take one or more compliance training, security training, privacy training, and other training courses as part of their employment. In various embodiments, an entity or organization may utilize one or more learning management systems in order to deliver one or more compliance, security, privacy and other training and/or certification courses for completion by one or more employees. The learning management system may then be configured to track training requirements (e.g., on an employee-by-employee basis) in addition to completion status of required trainings. In various embodiments, the learning management system may be configured to interface with one or more system access authorization systems in order to ensure that a particular employee attempting to access a particular system (e.g., or one or more pieces of software/data within that system) have completed any necessary requirements in order to do so.

Abstract: The present disclosure is directed to generating neural network (NN) output using input data representing various types of events, such as input representing a certain type of event and also an engagement metric that may be representative of a property of the event or representative of a related but different type of event. For example, the output values generated using the NN may be associated with the likelihood that certain future events will occur, given the occurrence of certain past or current events. The output can then be modified (e.g., re-ranked, adjusted, etc.) based on the occurrence of certain other past or current events.