Abstract: In one embodiment, a method includes receiving visual input of a media content a user is viewing from a client system associated with the user, determining one or more entities and one or more relationships between one or more of the entities associated with the media content based on the visual input, generating a personalized knowledge graph of the media content for the user based on the determined entities and relationships in real-time responsive to the visual input of the media content being received, generating a content summary based on the personalized knowledge graph, wherein the content summary corresponds to a current progress of the user within the media content the user is viewing, and sending instructions to the client system for presenting the content summary to the user.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.