Systems and methods for matching and scoring sameness
Systems and methods for matching and scoring sameness. In some embodiments, a computer-implemented method is provided, comprising acts of: identifying a plurality of first-degree anchor values from the first digital interaction, wherein the plurality of first-degree anchor values comprise first-degree anchor values X and Y; accessing a profile of the first-degree anchor value X, wherein: the profile of the first-degree anchor value X comprises a plurality of sets of second-degree anchor values; and each set of the plurality of sets of second-degree anchor values corresponds to a respective anchor type and comprises one or more second-degree anchor values of that anchor type; determining how closely the first-degree anchor values X and Y are associated; and generating an association score indicative of how closely the plurality of first-degree anchors are associated, based at least in part on how closely the first-degree anchor values X and Y are associated.
1. A computer-implemented method for analyzing a web site or mobile device app interaction, the method comprising acts of:
identifying a plurality of first-degree anchor values from the web site or mobile device app interaction, wherein the plurality of first-degree anchor values comprise a first-degree anchor value X and a first degree anchor value Y;
analyzing an association between the first-degree anchor value X and the first-degree anchor value Y, comprising:
using information stored in a profile of the first-degree anchor value X to determine how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X, relative to one or more second-degree anchor values in the profile of the first-degree anchor value X that are of a same anchor type as the first-degree anchor value Y; and
using information stored in a profile of the first-degree anchor value Y to determine how frequently the first-degree anchor value X was previously observed together with the first-degree anchor value Y, relative to one or more second-degree anchor values in the profile of the first-degree anchor value Y that are of a same anchor type as the first-degree anchor value X;
generating an association score indicative of an association among the plurality of first-degree anchor values identified from the web site or mobile device app interaction, based at least in part on the association between the first-degree anchor value X and the first-degree anchor value Y;
determining, based on the association score, whether to perform additional analysis; and
in response to determining that additional analysis is to be performed:
collecting additional data from the web site or mobile device app interaction, and
displaying, via a backend user interface, a risk assessment report to an operator of a web site or mobile device app via which the web site or mobile device app interaction is conducted, the risk assessment report based on the association score and a result of analyzing the additional data collected from the web site or mobile device app interaction.
2. The method of claim 1 , wherein:
each second-degree anchor value in the profile of the first-degree anchor value X was previously observed together with the first-degree anchor value X.
3. The method of claim 1 , wherein:
for each anchor type of a plurality of anchor types, the profile of the first-degree anchor value X stores a set of one or more second-degree anchor values that are of that anchor type.
4. The method of claim 1 , wherein:
for each second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y, the profile of the first-degree anchor value stores an indication of a frequency at which the second-degree anchor value was observed together with the first-degree anchor value X; and
determining how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X comprises:
identifying a highest frequency at which a second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y was observed together with the first-degree anchor value X; and
comparing a frequency at which the first-degree anchor value Y was previously observed together with the first-degree anchor value X against the highest frequency.
5. The method of claim 1 , wherein:
the first-degree anchor value X is of a first anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier;
the first-degree anchor value Y is of a second anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier; and
the second anchor type is different from the first anchor type.
6. A system comprising at least one processor and at least one computer-readable storage medium having stored thereon instructions which, when executed, program the at least one processor to perform a method comprising acts of:
identifying a plurality of first-degree anchor values from the web site or mobile device app interaction, wherein the plurality of first-degree anchor values comprise a first-degree anchor value X and a first degree anchor value Y;
analyzing an association between the first-degree anchor value X and the first-degree anchor value Y, comprising:
using information stored in a profile of the first-degree anchor value X to determine how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X, relative to one or more second-degree anchor values in the profile of the first-degree anchor value X that are of a same anchor type as the first-degree anchor value Y; and
using information stored in a profile of the first-degree anchor value Y to determine how frequently the first-degree anchor value X was previously observed together with the first-degree anchor value Y, relative to one or more second-degree anchor values in the profile of the first-degree anchor value Y that are of a same anchor type as the first-degree anchor value X;
generating an association score indicative of an association among the plurality of first-degree anchor values identified from the web site or mobile device app interaction, based at least in part on the association between the first-degree anchor value X and the first-degree anchor value Y; and
determining, based on the association score, whether to perform additional analysis; and
in response to determining that additional analysis is to be performed:
collecting additional data from the web site or mobile device app interaction, and
displaying, via a backend user interface, a risk assessment report to an operator of a web site or mobile device app via which the web site or mobile device app interaction is conducted, the risk assessment report based on the association score and a result of analyzing the additional data collected from the web site or mobile device app interaction.
7. The system of claim 6 , wherein:
each second-degree anchor value in the profile of the first-degree anchor value X was previously observed together with the first-degree anchor value X.
8. The system of claim 6 , wherein:
for each anchor type of a plurality of anchor types, the profile of the first-degree anchor value X stores a set of one or more second-degree anchor values that are of that anchor type.
9. The system of claim 6 , wherein:
for each second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y, the profile of the first-degree anchor value stores an indication of a frequency at which the second-degree anchor value was observed together with the first-degree anchor value X; and
determining how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X comprises:
identifying a highest frequency at which a second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y was observed together with the first-degree anchor value X; and
comparing a frequency at which the first-degree anchor value Y was previously observed together with the first-degree anchor value X against the highest frequency.
10. The system of claim 6 , wherein:
the first-degree anchor value X is of a first anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier;
the first-degree anchor value Y is of a second anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier; and
the second anchor type is different from the first anchor type.
11. At least one non-transitory computer-readable medium having stored thereon instructions which, when executed, program at least one processor to perform a method for analyzing a web site or mobile device app interaction, the method comprising acts of:
identifying a plurality of first-degree anchor values from the web site or mobile device app interaction, wherein the plurality of first-degree anchor values comprise a first-degree anchor value X and a first degree anchor value Y;
analyzing an association between the first-degree anchor value X and the first-degree anchor value Y, comprising:
using information stored in a profile of the first-degree anchor value X to determine how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X, relative to one or more second-degree anchor values in the profile of the first-degree anchor value X that are of a same anchor type as the first-degree anchor value Y; and
using information stored in a profile of the first-degree anchor value Y to determine how frequently the first-degree anchor value X was previously observed together with the first-degree anchor value Y, relative to one or more second-degree anchor values in the profile of the first-degree anchor value Y that are of a same anchor type as the first-degree anchor value X;
generating an association score indicative of an association among the plurality of first-degree anchor values identified from the web site or mobile device app interaction, based at least in part on the association between the first-degree anchor value X and the first-degree anchor value Y; and
determining, based on the association score, whether to perform additional analysis; and
in response to determining that additional analysis is to be performed:
collecting additional data from the web site or mobile device app interaction, and
displaying, via a backend user interface, a risk assessment report to an operator of a web site or mobile device app via which the web site or mobile device app interaction is conducted, the risk assessment report based on the association score and a result of analyzing the additional data collected from the web site or mobile device app interaction.
12. The at least one non-transitory computer-readable medium of claim 11 , wherein:
each second-degree anchor value in the profile of the first-degree anchor value X was previously observed together with the first-degree anchor value X.
13. The at least one non-transitory computer-readable medium of claim 11 , wherein:
for each anchor type of a plurality of anchor types, the profile of the first-degree anchor value X stores a set of one or more second-degree anchor values that are of that anchor type.
14. The at least one non-transitory computer-readable medium of claim 11 , wherein:
for each second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y, the profile of the first-degree anchor value stores an indication of a frequency at which the second-degree anchor value was observed together with the first-degree anchor value X; and
determining how frequently the first-degree anchor value Y was previously observed together with the first-degree anchor value X comprises:
identifying a highest frequency at which a second-degree anchor value that is in the profile of the first-degree anchor value X and is of a same anchor type as the first-degree anchor value Y was observed together with the first-degree anchor value X; and
comparing a frequency at which the first-degree anchor value Y was previously observed together with the first-degree anchor value X against the highest frequency.
15. The at least one non-transitory computer-readable medium of claim 11 , wherein:
the first-degree anchor value X is of a first anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier;
the first-degree anchor value Y is of a second anchor type selected from a group consisting of: network address, account identifier, email address, phone number, credit card number, location, device characteristic, and device identifier; and
the second anchor type is different from the first anchor type.