Abstract: Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Abstract: An example environment can automatically generate content for a conversation in response to a presented content item. An example computing device receives information associated with a content item produced by a source system, the content item being accessible to other the computing devices via a network. In response to receiving the information, the computing device identifies a start comment. In response to identifying the start comment, the computing device identifies a reply to the start comment using at least a ranking model.

Abstract: Described herein are various technologies pertaining to assigning an emotional state to a computer-implemented entity. The emotional state is a function of data values in a data stream output by a data source, such as a sensor or a web service. The data values in the data stream are processed over time to generate a measure value. Values that are indicative of a dynamic state of a measure relative to an optimal measure state are computed and assigned to the measure based upon the measure value. A reaction of the computer-implemented entity is determined based upon these values. A customized personality for the computer-implemented entity maps reactions to respective emotional states, and an emotional state that is mapped to the reaction is assigned to the computer-implemented entity.

Abstract: Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Abstract: Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Abstract: An example environment can automatically generate content for a conversation in response to a presented content item. An example computing device receives information associated with a content item produced by a source system, the content item being accessible to other the computing devices via a network. In response to receiving the information, the computing device identifies a start comment. In response to identifying the start comment, the computing device identifies a reply to the start comment using at least a ranking model.

Abstract: Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Abstract: Described herein are various technologies pertaining to assigning an emotional state to a computer-implemented entity. The emotional state is a function of data values in a data stream output by a data source, such as a sensor or a web service. The data values in the data stream are processed over time to generate a measure value. Values that are indicative of a dynamic state of a measure relative to an optimal measure state are computed and assigned to the measure based upon the measure value. A reaction of the computer-implemented entity is determined based upon these values. A customized personality for the computer-implemented entity maps reactions to respective emotional states, and an emotional state that is mapped to the reaction is assigned to the computer-implemented entity.