Abstract: Conversations can be generated automatically based on any given persona. The conversations can be produced by a language generation model that automatically generates persona-based language in response to a message, wherein a persona identifies a type of person with role specific characteristics. After a language generation model is acquired, for example by identifying a predefined model or generating a new model, the language generation model can be provisioned for use by a conversational agent, such as a chatbot, to enhance the functionality of the conversational agent.

Abstract: A method for displaying an information collection includes collecting a plurality of user signals associated with a user of a device, and identifying a first subject from the plurality of user signals. The first subject has at least a first piece of information. A connection between the first subject and a second subject is determined, and a second piece of information from the second subject is determined. The second piece of information is relevant to the first piece of information. The first and second pieces of information are assembled into a user information collection.