Identifying users through conversations for assistant systems

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive, by one or more computing systems from a client system, a user request from a first user;
• determine, by the one or more computing systems based on privacy restrictions associated with the user request, a necessity for resolving the first user to a known entity to execute one or more tasks associated with the user request;
• calculate, by the one or more computing systems using one or more machine-learning models, a plurality of confidence scores for a plurality of candidate entities for the first user;
• send, from the one or more computing systems to the client system, instructions for prompting the first user to select a candidate entity from a set of candidate entities from the plurality of candidate entities, wherein each candidate entity in the set of candidate entities is associated with a respective confidence score greater than a threshold score;
• resolve, by the one or more computing systems, the first user to a selected candidate entity responsive to receiving a selection from the first user;
• and
• execute, by the one or more computing systems responsive to the user request, the one or more tasks associated with the user request based on a user profile associated with the selected candidate entity.

A system comprising:

• 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, from a client system, a user request from a first user;
• determine, based on privacy restrictions associated with the user request, a necessity for resolving the first user to a known entity to execute one or more tasks associated with the user request;
• calculate, using one or more machine-learning models, a plurality of confidence scores for a plurality of candidate entities for the first user;
• send, to the client system, instructions for prompting the first user to select a candidate entity from a set of candidate entities from the plurality of candidate entities, wherein each candidate entity in the set of candidate entities is associated with a respective confidence score greater than a threshold score;
• resolve the first user to a selected candidate entity responsive to receiving a selection from the first user;
• and
• execute, responsive to the user request, the one or more tasks associated with the user request based on a user profile associated with the selected candidate entity.