Patent Issued for Processing system having a machine learning engine for providing an output via a digital assistant system (USPTO 11875087): Allstate Insurance Company

2024 FEB 05 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Grahn, Jamie E. (Lakemoor, IL, US), Schreier, Elizabeth C. (Glenview, IL, US), filed on February 20, 2023, was published online on January 16, 2024.

The patent’s assignee for patent number 11875087 is Allstate Insurance Company (Northbrook, Illinois, United States).

News editors obtained the following quote from the background information supplied by the inventors: “Aspects of the disclosure relate to processing systems. In particular, aspects of the disclosure relate to processing systems having a machine learning engine and machine learning datasets to generate altruistic recommendations or outputs that may be provided via a digital assistant system.

“Computing devices receive data associated with characteristics of a user and the user’s surroundings. Digital assistants are often used by people to process or distill data, provide information or recommendations, and the like. Users may not be aware of how to best fit charity or other altruistic endeavors into their daily lives. Accordingly, it would be advantageous to control the computing devices with regard to data collection and output, and to aggregate the data to determine charitable or altruistic opportunity recommendations or outputs and provide those recommendations via a digital assistant. This may increase the amount of time users may devote to charity.”

As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “Aspects of the disclosure provide effective, efficient, scalable, and convenient technical solutions that address and overcome the technical problems associated with leveraging machine learning techniques and data collection to determine charitable outputs.

“In accordance with one or more embodiments, a computing platform comprising at least one processor, a communication interface communicatively coupled to the at least one processor, and memory may receive, from a digital personal assistant computing device, a first voice command input. Then, the computing platform may determine, via machine learning algorithms, an identifier output indicating a user associated with the first voice command input. The computing platform may determine a location output indicating a geographic location associated with the user. The computing platform may determine, via a stored calendar, an availability output indicating availability associated with the user. The computing platform may determine, based on the identifier output, the location output, and the availability output, a charitable or altruistic opportunity output indicating a charitable or altruistic recommendation or opportunity. In addition, the computing platform may transmit, to a computing device associated with the charitable or altruistic recommendation or opportunity and after receiving a second voice command input from the digital personal assistant computing device that indicates acceptance of the charitable or altruistic recommendation or opportunity, an acceptance input. The computing platform may update, after transmitting the acceptance input, the stored calendar to include the charitable or altruistic recommendation or opportunity. Subsequently, the computing platform may transmit, after updating the stored calendar and to the digital personal assistant computing device, one or more commands to notify the user of the updated stored calendar.

“In some embodiments, the digital personal assistant computing device may comprise a computing device with voice recognition capabilities and natural language understanding capabilities.

“In some embodiments, the computing platform may determine, based on the location output, one or more charitable or altruistic outputs comprising indications of charitable organizations and charitable events located within a predetermined distance of the geographic location associated with the user.

“In some embodiments, the computing platform may send, to the computing device associated with the charitable or altruistic opportunity, the availability output.”

The claims supplied by the inventors are:

“1. A mobile device comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; a location sensor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the at least one processor to: determine, via machine learning algorithms and based on a first voice command input, an identifier indicating a user associated with the first voice command input; receive an approximate location of the mobile device; determine, via a stored calendar, an availability output indicating availability associated with the user; determine, based on the identifier, the location, and the availability output, a charitable opportunity indicator identifying a charitable opportunity for the user; verify, with a computing device associated with the charitable opportunity and after receiving a second voice command selection indicating acceptance of the charitable opportunity, an acceptance of the charitable opportunity; and update the stored calendar to include at least one entry indicating the charitable opportunity.

“2. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: display, on a display device and after updating the stored calendar, a notification of the updated stored calendar.

“3. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: verify, with a second computing device associated with a second charitable opportunity, an acceptance of a second charitable opportunity; and update the stored calendar to include at least one entry indicating the second charitable opportunity.

“4. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: generate a link to donate money based on the charitable opportunity; and display, on a display device, the link to donate money based on the charitable opportunity.

“5. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: display, on a display device, a reminder notification for the charitable opportunity.

“6. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: display, on a display device and based on the approximate location of the mobile device, a link to access directions from the approximate location of the mobile device to a location associated with the charitable opportunity.

“7. The mobile device of claim 1, wherein the computer-readable instructions further cause the at least one processor to: update, based on the second voice command selection indicating acceptance of the charitable opportunity, at least one aspect of the machine learning algorithms.

“8. The mobile device of claim 7, wherein determining the charitable opportunity indicator identifying a charitable opportunity for the user is further based on the updated machine learning algorithms.

“9. The mobile device of claim 1, wherein the charitable opportunity comprises at least one of making a donation, going to an event, or performing a charitable action.

“10. A method comprising: receiving, at a mobile device via a communication interface, a first voice command input; determining, via machine learning algorithms and based on the first voice command input, an identifier indicating a user associated with the first voice command input; receiving an approximate location of the mobile device; determining, via a stored calendar of the mobile device, an availability output indicating availability associated with the user; determining, based on the identifier, the location, and the availability output, a charitable opportunity indicator identifying a charitable opportunity for the user; receiving a second voice command selection indicating acceptance of the charitable opportunity; verifying, with a computing device associated with the charitable opportunity and after receiving the second voice command selection, an acceptance of the charitable opportunity; and updating the stored calendar to include at least one entry indicating the charitable opportunity.

“11. The method of claim 10, further comprising: displaying, on a display device of the mobile device and after updating the stored calendar, a notification of the updated stored calendar.

“12. The method of claim 10, further comprising: verifying, with a second computing device associated with a second charitable opportunity, an acceptance of a second charitable opportunity; and updating the stored calendar to include at least one entry indicating the second charitable opportunity.

“13. The method of claim 10, further comprising: generating a link to donate money based on the charitable opportunity; and displaying, on a display device of the mobile device, the link to donate money based on the charitable opportunity.

“14. The method of claim 10, further comprising: displaying, on a display device of the mobile device, a reminder notification for the charitable opportunity.

“15. The method of claim 10, further comprising: displaying, on a display device of the mobile device and based on the approximate location of the mobile device, a link to access directions from the approximate location of the mobile device to a location associated with the charitable opportunity.

“16. The method of claim 10, further comprising: updating, based on the second voice command selection indicating acceptance of the charitable opportunity, at least one aspect of the machine learning algorithms.

“17. A non-transitory computer-readable storage medium having computer-executable program instructions stored thereon that when executed by a processor, cause a computing device to perform: receiving, at a mobile device via a communication interface, a first voice command input; determining, via machine learning algorithms and based on the first voice command input, an identifier indicating a user associated with the first voice command input; receiving an approximate location of the mobile device; determining, via a stored calendar of the mobile device, an availability output indicating availability associated with the user; determining, based on the identifier, the location, and the availability output, a charitable opportunity indicator identifying a charitable opportunity for the user; receiving a second voice command selection indicating acceptance of the charitable opportunity; verifying, with a computing device associated with the charitable opportunity and after receiving the second voice command selection, an acceptance of the charitable opportunity; and updating the stored calendar to include at least one entry indicating the charitable opportunity.

“18. The non-transitory computer-readable storage medium of claim 17, further comprising computer-executable instructions that, when executed by the processor, cause the computing device to perform: verifying, with a second computing device associated with a second charitable opportunity, an acceptance of a second charitable opportunity; and updating the stored calendar to include at least one entry indicating the second charitable opportunity.

“19. The non-transitory computer-readable storage medium of claim 17, further comprising computer-executable instructions that, when executed by the processor, cause the computing device to perform: updating, based on the second voice command selection indicating acceptance of the charitable opportunity, at least one aspect of the machine learning algorithms.

“20. The non-transitory computer-readable storage medium of claim 17, further comprising computer-executable instructions that, when executed by the processor, cause the computing device to perform: generating a link to donate money based on the charitable opportunity; and displaying, on a display device of the mobile device, the link to donate money based on the charitable opportunity.”

For additional information on this patent, see: Grahn, Jamie E. Processing system having a machine learning engine for providing an output via a digital assistant system. U.S. Patent Number 11875087, filed February 20, 2023, and published online on January 16, 2024. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11875087)&db=USPAT&type=ids

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