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US 8,620,942 B1Granted
Associating user identities with different unique identifiers
AssigneeLiveRamp, Inc.
InventorsAuren Hoffman, Jeremy Lizt, Vivek Sodera, Manish Shah
Life of this patent
Estimating the term…
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.
Claims17
An apparatus, comprising:
- one or more processors configured to:
- identify a first website containing information associated with a first identifier;
- extract a first set of data from the information associated with the first identifier;
- identify a second website containing information associated with a second identifier;
- extract a second set of data from the information associated with the second identifier;
- search for similarities between the first set of data and the second set of data;
- and
- generate an association score that indicates a confidence factor that the first identifier is associated with the second identifier according to the similarities between the first set of data and the second set of data, wherein the one or more of the processors are further configured to assign different weights to content within the first and second set of data based on a probability of the content uniquely identifying an entity.
5 more elements
A method comprising:
- receiving, by a computing device, a request to verify association of a unique identifier with an entity;
- searching, by the computing device, for profile information associated with the unique identifier;
- comparing, by the computing device, the profile information with reference information associated with the unique identifier;
- identifying, by the computing device, similarities between the profile information and the reference information;
- identifying, by the computing device, unique types of data associated with high association scores;
- and
- increasing weightings for the unique types of data identified as similar in the profile information and the reference information;
- and
- generating, by the computing device, an association score based on the similarities between the profile information and the reference information, wherein the association score indicates a confidence level that the unique identifier is associated with the entity.
6 more elements
A method comprising:
- receiving, by a computing device, a request to verify association of a unique identifier with an entity;
- searching, by the computing device, for profile information associated with the unique identifier;
- comparing, by the computing device, the profile information with reference information associated with the unique identifier;
- identifying, by the computing device, similarities between the profile information and the reference information;
- generating, by the computing device, an association score based on the similarities between the profile information and the reference information, wherein the association score indicates a confidence level that the unique identifier is associated with the entity;
- and
- identifying a domain extension in the unique identifier and generating the association score based on the similarities between the domain extension and the profile information.
4 more elements
A computer device containing instructions that when executed by a computer result in:
- receiving, by a computing device, a request for an association indicator between a first identifier and a second identifier;
- identifying, by the computing device, data sources associated with the first identifier and the second identifier;
- extracting, by the computing device, from the data sources a first set of information associated with the first identifier;
- extracting, by the computing device, from the data sources a second set of information associated with the second identifier;
- search for similarities between the first set of information and the second set of information;
- generating, by the computing device, an association score indicating a likelihood the first identifier is associated with the second identifier according to similarities between the first set of information with the second set of information;
- searching through an additional data source for a third set of information associated with the first identifier;
- comparing the first set of information with the third set of information;
- and
- adjusting the association score according to similarities between the first set of information and the third set of information.
7 more elements
Dependencies are inferred from the claim text.