Intent disambiguation within a virtual agent platform
The present disclosure is directed techniques for executing a task or service using a virtual agent. A method includes: executing, using a virtual agent, one or more tiers of a plurality of tiers of machine learning analysis to identify a desired action to be performed based on a user command, the user command being received from an external computing device; responsive to the one or more tiers of the plurality of tiers of machine learning analysis identifying a plurality of actions associated with the user command, determining a series of inquiries to present via the external computing device, wherein each inquiry of the series of inquiries is selected based on a number of actions associated with each inquiry, and wherein each subsequent inquiry in the series of inquires is based on a user response to a preceding inquiry; identifying, based on responses to the series of inquiries, the desired action to be performed; and executing the desired action to be performed.
1. A method, comprising:
executing, using a virtual agent, one or more tiers of a plurality of tiers of machine learning analysis to identify a desired action to be performed based on a user command, the user command being received from an external computing device;
responsive to the one or more tiers of the plurality of tiers of machine learning analysis identifying a plurality of actions associated with the user command, determining a series of inquiries to present via the external computing device, wherein a first inquiry of the series of inquiries comprises a first plurality of options presented to a user, wherein a second inquiry in the series of inquires comprises a second plurality of options, wherein the first plurality of options comprise a combination of substantive options and a null option, wherein the second plurality of options comprise a new set of substantive options responsive to receiving a selection of the null option, and wherein each of the first inquiry and the second inquiry is selected based on a number of actions associated with the corresponding inquiry;
identifying, based on responses to the series of inquiries, the desired action to be performed; and
executing the desired action to be performed.
2. The method of claim 1 , wherein a number of options presented in the first and second plurality of options presented to the user is based on a current usage setting of the external computing device or a user profile.
3. The method of claim 1 , wherein a number of options presented in the first plurality of options presented to the user is between two and five options.
4. The method of claim 1 , wherein determining the series of inquiries to present via the external computing device comprises selecting an inquiry from among a plurality of inquiries that yields a fewest number of actions.
5. The method of claim 4 , wherein selecting the inquiry from among the plurality of inquiries that yields the fewest number of actions is based on a standard deviation of a number of options associated with each of the plurality of inquiries.
6. A system, comprising:
a memory; and
a processor coupled to the memory and configured to:
execute, using a virtual agent, one or more tiers of a plurality of tiers of machine learning analysis to identify a desired action to be performed based on a user command, the user command being received from an external computing device;
responsive to the one or more tiers of the plurality of tiers of machine learning analysis identifying a plurality of actions associated with the user command, determine a series of inquiries to present via the external computing device, wherein a first inquiry of the series of inquiries comprises a first plurality of options presented to a user, wherein a second inquiry in the series of inquires comprises a second plurality of options, wherein the first plurality of options comprise a combination of substantive options and a null option, wherein the second plurality of options comprise a new set of substantive options responsive to receiving a selection of the null option, and wherein each of the first inquiry is selected based on a number of actions associated with the corresponding inquiry;
identify, based on responses to the series of inquiries, the desired action to be performed; and
execute the desired action to be performed.
7. The system of claim 6 , wherein a number of options presented in the first and second plurality of options presented to the user is based on a current usage setting of the external computing device or a user profile.
8. The system of claim 6 , wherein a number of options presented in the first plurality of options presented to the user is between two and five options.
9. The system of claim 6 , wherein, to determine the series of inquiries to present via the external computing device, the processor is further configured to select an inquiry from among a plurality of inquiries that yields a fewest number of actions.
10. The system of claim 9 , wherein selecting the inquiry from among the plurality of inquiries that yields the fewest number of actions is based on a standard deviation of a number of options associated with each of the plurality of inquiries.
11. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
executing, using a virtual agent, one or more tiers of a plurality of tiers of machine learning analysis to identify a desired action to be performed based on a user command, the user command being received from an external computing device;
responsive to the one or more tiers of the plurality of tiers of machine learning analysis identifying a plurality of actions associated with the user command, determining a series of inquiries to present via the external computing device, wherein a first inquiry of the series of inquiries comprises a first plurality of options presented to a user, wherein a second inquiry in the series of inquires comprises a second plurality of options, wherein the first plurality of options comprise a combination of substantive options and a null option, wherein the second plurality of options comprise a new set of substantive options responsive to receiving a selection of the null option, and wherein each of the first inquiry and the second inquiry is selected based on a number of actions associated with the corresponding inquiry;
identifying, based on responses to the series of inquiries, the desired action to be performed; and
executing the desired action to be performed.
12. The non-transitory computer-readable device of claim 11 , wherein a number of options presented in the first and second plurality of options presented to the user is based on a current usage setting of the external computing device or a user profile.
13. The non-transitory computer-readable device of claim 11 , wherein determining the series of inquiries to present via the external computing device comprises selecting an inquiry from among a plurality of inquiries that yields a fewest number of actions.
14. The non-transitory computer-readable device of claim 13 , wherein selecting the inquiry from among the plurality of inquiries that yields the fewest number of actions is based on a standard deviation of a number of options associated with each of the plurality of inquiries.