Meta Platforms, Inc.
Methods and systems for responding to inquiries based on social graph information

Abstract:

Exemplary embodiments relate to improvements in digital assistants incorporating personalization based on social network data. Various aspects of the agent, such as the agent's voice, language style, and avatar may be personalized. Personalization may be applied to components of an agent's architecture (e.g., the virtual agent's language model, natural language generator, voice generation component, etc.). Moreover, by interfacing with the social network's social graph, the agent may be provided with information useful to performing certain tasks (e.g., a calendar for scheduling, food preferences for ordering tasks, etc.). An agent may be provided (and personalized) for a single user, or a group of users (e.g., a family). The agent can be personalized to anyone, which may allow (e.g.) for the agent to represent a celebrity or a person who is not currently available in interactions with others. Different agents can talk to each other, e.g. for purposes of scheduling meetings.