Associating user identities with different unique identifiers
First Claim
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1. A user correlation system, comprising:
- one or more processors configured to;
receive a unique identifier association request for unique identifiers;
identify a first website containing user activity information associated with a first one of the unique identifiers;
extract a first set of data from the user activity information on the first website associated with the first one of the unique identifiers;
identify a second website containing user activity information associated with a second one of the unique identifiers;
extract a second set of data from the user activity information on the second website associated with the second one of the unique identifiers;
search for similarities between the first set of data extracted from the user activity information on the first website and the second set of data extracted from the user activity information on the second website;
compare the first set of data extracted from the first website with the second set of data extracted from the second website; and
generate an association score that indicates a confidence factor that the first one of the unique identifiers and the second one of the unique identifiers are associated with a same user according to the comparison between the first set of data and the second set of data.
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Abstract
A user correlation system uses aggregated data and matching/comparison in order to assign an association score that determines likelihood that unique identifiers are associated with the same user.
142 Citations
22 Claims
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1. A user correlation system, comprising:
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one or more processors configured to; receive a unique identifier association request for unique identifiers; identify a first website containing user activity information associated with a first one of the unique identifiers; extract a first set of data from the user activity information on the first website associated with the first one of the unique identifiers; identify a second website containing user activity information associated with a second one of the unique identifiers; extract a second set of data from the user activity information on the second website associated with the second one of the unique identifiers; search for similarities between the first set of data extracted from the user activity information on the first website and the second set of data extracted from the user activity information on the second website; compare the first set of data extracted from the first website with the second set of data extracted from the second website; and generate an association score that indicates a confidence factor that the first one of the unique identifiers and the second one of the unique identifiers are associated with a same user according to the comparison between the first set of data and the second set of data. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method comprising:
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receiving, by a computing device, a unique identifier (UID) request for one or more user UIDs; identifying, by the computing device, a website location containing online user information associated with the one or more user UIDs; obtaining, by the computing device, the online user information from the website location associated with the one or more user UIDs; comparing, by the computing device, the online user information from the website location with the personal information associated with the one or more user UIDs; searching, by the computing device, for similarities between the online user information from the website location and personal information associated with the one or more user UIDs; and generating, by the computing device, a UID association score based on similarities between the online user information obtained from the website location and the personal information associated with the one of more user UIDs, wherein the UID association score indicates a confidence level that the one or more user UIDs are associated with a particular person; and returning the UID association score back to a client in response to the client sending the UID request. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15)
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16. A method comprising:
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receiving, by a computing device, an association request for an association indicator between a first unique identifier (UID) and a second UID; identifying, by the computing device, a first website associated with the first UID; identifying, by the computing device, a second website associated with the second UID; extracting, by a computing device, a first set of information from a first user profile on the first website associated with the first UID; extracting, by a computing device, a second set of information from a second user profile on the second website associated with the second UID; comparing, by the computing device, the first set of information with the second set of information; search for similarities between the first set of information extracted from the first website with the second set of information extracted from the second website; and generating, by the computing device, an association score to indicate a confidence factor the first UID and the second UID are associated with a same person according to the comparison of the first set of information with the second set of information. - View Dependent Claims (17, 18)
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19. A computer device containing instructions that when executed by a computer result in:
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receiving a unique identifier association request to determine a probability that two different unique identifiers (UIDs) are associated with a same person; identifying data for the different UIDs from different online locations that associate the two different UIDs with actual persons; search for similarities between the data for the different UIDs from the different online locations; comparing the data for the two different UIDs from the different online locations; identifying similarities and differences between the data for the two different UIDs from the different online locations; generating an association score indicating the probability that the two different UIDs are associated with the same person according to the identified similarities and differences; and returning the association score in response to the unique identifier association request indicating a confidence level that the two different UIDs are associated with the same person. - View Dependent Claims (20, 21, 22)
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Specification