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US 10,650,474 B2Granted
System and method for using social network content to determine a lifestyle category of users
AssigneeHi.Q, Inc.
InventorsShuo Jiao, Munjal Shah, Ryan Hinchey, Cathy Ye Fan, Ardaman Singh
Life of this patent
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Abstract
Examples described herein include a computer system to obtain social network content from a user, and to analyze the social network content to determine one or more attributes. The computer system predicts a lifestyle category of the user based at least in part on the determined one or more attributes.
Claims20
A computer system implementing a health service, comprising:
- a network communication interface to communicate, over one or more wireless networks, with (i) a health service application executing on computing devices of users of the health service, and (ii) one or more social media sources to access social networks corresponding to the users of the health service;
- a database storing a collection of health assertions pertaining to human health, wherein each respective health assertion in the collection of health assertions corresponds to a health topic and comprises a correlative health value based on answers to the respective health assertion from individuals in a control group of which a health outcome is known, and wherein the collection of health assertions are configured to test general health knowledge of the users of the health service and not query user-specific health information of the users;
- a memory storing a set of instructions;
- one or more processors to execute the set of instructions, causing the one or more processors to:
- execute, by the one or more processors, a correlation model to determine the correlative health value for each respective health assertion in the collection of health assertions based on (i) the answers to the respective health assertion provided by the individuals in the control group, and (ii) the known health outcomes of each of the individuals in the control group, wherein the correlative health value for each respective health assertion in the collection of health assertions corresponds to a set of correlations between knowledge of the respective health assertion and the known health outcomes of the individuals in the control group;
- access, over the one or more wireless networks, social network content from the one or more social media sources, the social network content being associated with a user of the health service;
- remotely analyze, over the one or more wireless networks, at least one of image content or text content of the social network content to determine one or more health-related attributes of the user;
- generate, via a user interface of the health service application executing on a computing device of the user, a series of health assertions from the collection of health assertions;
- receive, over the one or more wireless networks, a series of responses to the series of health assertions from the health service application executing on the computing device of the user;
- based on (i) a correctness or incorrectness of each response of the series of responses and (ii) the one or more health-related attributes of the user as determined from the social network content of the user, determine, from a set of lifestyle categories, a corresponding lifestyle category of the user;
- and
- transmit, over the one or more wireless networks, display data to the computing device of the user, the display data causing the user interface of the health service application to display content presenting one or more health service products, the one or more health service products being priced based at least in part on the corresponding lifestyle category of the user.
9 more elements
A non-transitory computer readable medium storing a set of instructions that, when executed by one or more processors, cause the one or more processors to:
- communicate, over one or more wireless networks, with (i) a health service application executing on computing devices of users of a health service, and (ii) one or more social media sources to access social networks corresponding to the users of the health service;
- store, in a database, a collection of health assertions pertaining to human health, wherein each respective health assertion in the collection of health assertions corresponds to a health topic and comprises a correlative health value based on answers to the respective health assertion from individuals in a control group of which a health outcome is known, and wherein the collection of health assertions are configured to test general health knowledge of the users of the health service and not query user-specific health information of the users;
- execute, by the one or more processors, a correlation model to determine the correlative health value for each respective health assertion in the collection of health assertions based on (i) the answers to the respective health assertion provided by the individuals in the control group, and (ii) the known health outcomes of each of the individuals in the control group, wherein the correlative health value for each respective health assertion in the collection of health assertions corresponds to a set of correlations between knowledge of the respective health assertion and the known health outcomes of the individuals in the control group;
- access, over the one or more wireless networks, social network content from the one or more social media sources, the social network content being associated with a user of the health service;
- remotely analyze, over the one or more wireless networks, at least one of image content or text content of the social network content to determine one or more health-related attributes of the user;
- generate, via a user interface of the health service application executing on a computing device of the user, a series of health assertions from the collection of health assertions;
- receive, over the one or more wireless networks, a series of responses to the series of health assertions from the health service application executing on the computing device of the user;
- based on (i) a correctness or incorrectness of each response of the series of responses and (ii) the one or more health-related attributes of the user as determined from the social network content of the user, determine, from a set of lifestyle categories, a corresponding lifestyle category of the user;
- and
- transmit, over the one or more wireless networks, display data to the computing device of the user, the display data causing the user interface of the health service application to display content presenting one or more health service products, the one or more health service products being priced based at least in part on the corresponding lifestyle category of the user.
7 more elements
Dependencies are inferred from the claim text.