Systems and methods for enhancing user data derived from digital communications
First Claim
1. A computer-implemented method for enhancing and utilizing user data derived from digital interactions, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:
- receiving, at an aggregation point comprising a database comprising at least one non-transitory computer-readable storage medium and configured to receive and aggregate user data from a plurality of sources, a submission generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider;
storing a record of the submission at the database;
determining attributes of the submission;
determining, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue;
generating a first dataset associated with the first user by;
associating the record of the submission with the attributes of the submission;
associating the record of the submission with an issue-specific data element corresponding to the issue-specific communication;
storing the first dataset at the database;
searching one or more additional datasets for additional data to be associated with data elements of the first dataset, the additional data not being included in the first dataset prior to the searching the one or more additional datasets;
analyzing the additional data from the one or more additional datasets based on at least one of characteristics and source of the additional data to identify potentially erroneous data from the additional data;
associating the additional data from the one or more additional datasets with the first user;
appending the one or more additional datasets to the first dataset to generate an appended dataset;
storing the appended dataset at the database;
determining whether characteristics of data in the appended dataset meet a predetermined threshold;
determining one or more correlations based on the data in the appended dataset;
generating a data model based on the data in the appended dataset and the one or more correlations;
requesting records associated with additional users, the records including data characteristics that meet specified criteria predictive of correlations between attributes of the additional users and the data model;
storing the records associated with the additional users at the database.
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Accused Products
Abstract
A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving a submission generated by input into a client side application interface by a first user on a first computing device, and determining, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue. The method includes generating a first dataset associated with the first user, searching one or more additional datasets for additional data to be associated with data elements of the first dataset, associating the additional data from the one or more additional datasets with the first user, generating a data model, and requesting records associated with additional users.
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Citations
23 Claims
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1. A computer-implemented method for enhancing and utilizing user data derived from digital interactions, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:
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receiving, at an aggregation point comprising a database comprising at least one non-transitory computer-readable storage medium and configured to receive and aggregate user data from a plurality of sources, a submission generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider; storing a record of the submission at the database; determining attributes of the submission; determining, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue; generating a first dataset associated with the first user by; associating the record of the submission with the attributes of the submission; associating the record of the submission with an issue-specific data element corresponding to the issue-specific communication; storing the first dataset at the database; searching one or more additional datasets for additional data to be associated with data elements of the first dataset, the additional data not being included in the first dataset prior to the searching the one or more additional datasets; analyzing the additional data from the one or more additional datasets based on at least one of characteristics and source of the additional data to identify potentially erroneous data from the additional data; associating the additional data from the one or more additional datasets with the first user; appending the one or more additional datasets to the first dataset to generate an appended dataset; storing the appended dataset at the database; determining whether characteristics of data in the appended dataset meet a predetermined threshold; determining one or more correlations based on the data in the appended dataset; generating a data model based on the data in the appended dataset and the one or more correlations; requesting records associated with additional users, the records including data characteristics that meet specified criteria predictive of correlations between attributes of the additional users and the data model; storing the records associated with the additional users at the database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A system for enhancing and utilizing user data derived from digital interactions, the system comprising:
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a receiving module that receives, at an aggregation point configured to receive and aggregate user data from a plurality of sources, a submission generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider; a database comprising at least one non-transitory computer-readable storage medium that stores a record of the submission; a determining module that; determines attributes of the submission; determines, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue; a generating module that generates a first dataset associated with the first user by; associating the record of the submission with the attributes of the submission; associating the record of the submission with an issue-specific data element corresponding to the issue-specific communication; an associating module that; searches one or more additional datasets for additional data to be associated with data elements of the first dataset, the additional data not being included in the first dataset prior to the searching the one or more additional datasets; analyzes the additional data from the one or more additional datasets based on at least one of characteristics and source of the additional data to identify potentially erroneous data from the additional data; associates the additional data from the one or more additional datasets with the first user; an appending module for appending data to datasets; an analyzing module for analyzing datasets; at least one processor configured to execute the receiving module, the database, the determining module, the generating module, the associating module, the appending module, and the analyzing module, wherein; the appending module appends the one or more additional datasets to the first dataset to generate an appended dataset; the determining module; determines whether characteristics of data in the appended dataset meet a predetermined threshold; determines one or more correlations based on the data in the appended dataset; the generating module generates a data model based on the data in the appended dataset and the one or more correlations; the analyzing module requests records associated with additional users, the records including data characteristics that meet specified criteria predictive of correlations between attributes of the additional users and the data model; the database; stores the first dataset; stores the appended dataset; stores the records associated with the additional users.
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23. A non-transitory computer-readable-storage medium comprising one or more computer-readable instructions that, when executed by at least one processor of a first computing device, cause the first computing device to:
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receive, at an aggregation point comprising a database comprising at least one non-transitory computer-readable storage medium and configured to receive and aggregate user data from a plurality of sources, a submission generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider; store a record of the submission at the database; determine attributes of the submission; determine, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue; generate a first dataset associated with the first user by; associating the record of the submission with the attributes of the submission; associating the record of the submission with an issue-specific data element corresponding to the issue-specific communication; store the first dataset at the database; search one or more additional datasets for additional data to be associated with data elements of the first dataset, the additional data not being included in the first dataset prior to the searching the one or more additional datasets; analyze the additional data from the one or more additional datasets based on at least one of characteristics and source of the additional data to identify potentially erroneous data from the additional data; associate the additional data from the one or more additional datasets with the first user; append the one or more additional datasets to the first dataset to generate an appended dataset; store the appended dataset at the database; determine whether characteristics of data in the appended dataset meet a predetermined threshold; determine one or more correlations based on the data in the appended dataset; generate a data model based on the data in the appended dataset and the one or more correlations; request records associated with additional users, the records including data characteristics that meet specified criteria predictive of correlations between attributes of the additional users and the data model; store the records associated with the additional users at the database.
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Specification