Patent Issued for Data processing system with machine learning engine to provide output generating functions (USPTO 11537935): Allstate Insurance Company

2023 JAN 18 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Galijasevic, Tarik (Deerfield, IL, US), Olenak, Matthew (Chicago, IL, US), Patel, Avani (Chicago, IL, US), Rugel, John (Hawthorn Woods, IL, US), Stricker, Brian (Northbrook, IL, US), filed on November 13, 2018, was published online on December 27, 2022.

The assignee for this patent, patent number 11537935, is Allstate Insurance Company (Northbrook, Illinois, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “Mobile devices are being used to simplify people’s lives around the world. However, it is often difficult to collect sufficient information via user input. In addition, determining an accuracy of information provided by a user can be difficult. Often, confirming accuracy may require in-person communication, additional documentation, and the like. Accordingly, executing a plurality of interactive tests generated by an entity to collect condition data, verify accuracy of data, and the like, may be advantageous.”

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.

“Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for identifying and executing one or more interactive condition evaluation tests to generate an output.

“In some examples, user information may be received by a system, computing device, or the like. Based on the information, one or more interactive condition evaluation tests may be identified. An instruction, command, signal or the like, may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified interactive condition evaluation tests.

“In some examples, a user interface may be generated by the system, computing device, or the like. The user interface may include instructions for executing the identified interactive condition evaluation tests. Upon initiating an interactive condition evaluation test on the computing device of the user, data may be collected from one or more sensors in the computing device.

“In some examples, a determination may be made as to whether a triggering event has occurred. If not, data from the sensors may be collected. If so, the interactive condition evaluation test may be terminated and functionality associated with the sensors may be disabled.”

The claims supplied by the inventors are:

“1. A method, comprising: receiving, at a communication interface of an eligibility determination computing platform and from a user computing device, a user input including user information for a user, wherein the user input includes sensor information collected by sensors of the user computing device; identifying, via a product identification module of the eligibility determination computing platform and based on the received user information, one or more products; identifying, via a social data analysis module of the eligibility determination computing platform, one or more social networking service accounts associated with the user; collecting, by a social data collection module of the eligibility determination computing platform, social data related to the user by scanning the one or more social networking service accounts associated with the user; analyzing, by the social data analysis module of the eligibility determination computing platform and using one or more machine learning datasets generated using a machine learning engine, the social data to evaluate social habits of the user; determining a quantity of the social data falling into each of a plurality of categories of social behavior; calculating, via a social profile generation module of the eligibility determination computing platform and based on the analysis of the social data via the one or more machine learning datasets and the quantity of social data falling into each of the plurality of categories of social behavior, one or more social scores; determining, based on the one or more social scores, whether the user is eligible for the identified one or more products; and sending, via the communication interface and to the user computing device, an output indicating whether the user is eligible for the identified one or more products.

“2. The method of claim 1, wherein the social data collected from the one or more social networking service accounts comprises social media posts associated with the user, social media messages associated with the user, and a list of social media friends or connections associated with the user, and wherein the social media posts comprise one or more of: a message, an image, a video, or an audio.

“3. The method of claim 1, wherein analyzing the social data to evaluate the social habits of the user comprises: scanning the social data for language or images indicative of social behavior of the user; and analyzing, using the one or more machine learning datasets, the language or images to evaluate the social habits of the user.

“4. The method of claim 1, wherein calculating the one or more social scores comprises calculating the one or more social scores based on weighting differently each of the plurality of categories of social behavior.

“5. The method of claim 4, wherein the plurality of categories of social behavior comprise: a number of images showing the user engaging in risky behavior, a number of social media posts describing the user engaging in risky behavior, a number of images showing the user engaging in positive behavior, a number of social media posts describing the user engaging in positive behavior, and a number of friends, connections, or contacts associated with the user, a number of messages sent/received by the user, a number of phone calls placed/received by the user, a number of social media posts posted by the user, and a number of social media posts referencing the user.

“6. The method of claim 1, wherein determining whether the user is eligible for the identified one or more products comprises: determining that one or more of the one or more social scores is above a corresponding threshold value; and in response to the determination that one or more of the one or more social scores is above the corresponding threshold value, determining that the user is eligible for the identified one or more products, wherein the output indicates that the user is eligible for the identified one or more products.

“7. The method of claim 1, wherein determining whether the user is eligible for the identified one or more products comprises: determining that at least one of the one or more social scores is below a corresponding threshold value; and in response to the determination that at least one of the one or more social scores is below the corresponding threshold value, determining that eligibility of the user for the identified one or more products is uncertain, wherein the output indicates that eligibility for the identified one or more products could not be determined and additional information is required.

“8. The method of claim 1, wherein determining whether the user is eligible for the identified one or more products is further based on results of an interactive condition evaluation test, wherein the interactive condition evaluation test includes at least one of a biometric test, a mobility test, a reflex test, or a cognitive skills test.

“9. The method of claim 1, wherein collecting the social data related to the user further comprises: sending, to the user computing device, a instructions to collect additional social data comprising stored images, a quantity of contacts, a quantity of text and email messages sent/received by the user, a quantity of phone calls placed/received by the user; and receiving, from the user computing device, the additional social data, wherein the social data further comprises images, email messages, text messages, quantity of phone calls, or a quantity of contacts.

“10. A computing device, comprising: a processing unit comprising a processor; and a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the computing device to: receive, at a communication interface of an eligibility determination computing platform and from a user computing device, a user input including user information for a user, wherein the user input includes sensor information; identify, based on the received user information, one or more products via a product identification module of the eligibility determination computing platform; identify, via a social data analysis module of the eligibility determination computing platform, one or more social networking service accounts associated with the user; collect, by a social data collection module of the eligibility determination computing platform, social data related to the user by scanning the one or more social networking service accounts associated with the user; analyze, by the social data analysis module of the eligibility determination computing platform and using one or more machine learning datasets generated using a machine learning engine, the social data to evaluate social habits of the user; determine a quantity of the social data falling into each of a plurality of categories of social behavior; calculate, via a social profile generation module of the eligibility determination computing platform and based on the analysis of the social data via the one or more machine learning datasets and the quantity of social data falling into each of the plurality of categories of social behavior, one or more social scores; determine, based on the one or more social scores, whether the user is eligible for the identified one or more products; and send, via the communication interface and to the user computing device, an output indicating whether the use is eligible for the identified one or more products.

“11. The computing device of claim 10, wherein the instructions further cause the computing device to analyze the social data by: scanning the social data for language or images indicative of social behavior of the user; and analyzing, using the one or more machine learning datasets, the language or images to evaluate the social habits of the user.

“12. The computing device of claim 10, wherein the instructions further cause the computing device to: calculate the one or more social scores by weighting differently each of the plurality of categories of social behavior.

“13. The computing device of claim 10, wherein the instructions further cause the computing device to: determine that one or more of the one or more social scores is above a corresponding threshold value; and in response to the determination that one or more of the one or more social scores is above the corresponding threshold value, determine that the user is eligible for the identified one or more products, wherein the output indicates that the user is eligible for the identified one or more products.

“14. The computing device of claim 10, wherein the instructions further cause the computing device to: determine that at least one of the one or more social scores is below a corresponding threshold value; and in response to the determination that at least one of the one or more social scores is below the corresponding threshold value, determine that eligibility of the user for the identified one or more products is uncertain, wherein the output indicates that eligibility for the identified one or more products could not be determined and additional information is required.

“15. The computing device of claim 10, wherein the instructions further cause the computing device to determine whether the user is eligible for the identified one or more products, further based on results of an interactive condition evaluation test.”

There are additional claims. Please visit full patent to read further.

For more information, see this patent: Galijasevic, Tarik. Data processing system with machine learning engine to provide output generating functions. U.S. Patent Number 11537935, filed November 13, 2018, and published online on December 27, 2022. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11537935)&db=USPAT&type=ids

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