Data Fusion Using Behavioral Factors

• US 20150006559A1
• Filed: 09/15/2014
• Published: 01/01/2015
• Est. Priority Date: 08/31/2011
• Status: Active Grant

• Current Assignee: comScore, Inc.
• Original Assignee: comScore, Inc.
• Inventors: Meierhoefer, Cameron S., Kapar, David Pham, Kemp, Patrick James, Vaughn, Alan
• Granted Patent: US 10,303,703 B2
• Time in Patent Office: Days
• US Class Current: 707/758
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A first data set associated with a first group of users is accessed. The first data set includes demographic data, online behavior data, and additional user data associated with the users in the first group. A second data set associated with a second group of users is accessed. The second data set includes demographic data and online behavior data but not additional user data associated with the users in the second group. One or more sets of matched users are determined based on the demographic data and online behavior data included in the first data set and the demographic data and online behavior data included in the second data set. Each set includes a user from the first group matched with a user from the second group. Based on the one or more sets of matched users, an augmented second data set that includes additional user data associated with the users in the second group is generated. One or more reports are generated based on the augmented second data set.

Claims

1. A system comprising:

one or more processing devices; and

one or more storage devices storing instructions that, when executed by the one or more processing devices, cause the one or more processing devices to perform the following operations;

access a first data set associated with a first group of users, the first data set including demographic data, online behavior data, and additional user data associated with the users in the first group;

access a second data set associated with a second group of users, the second data set including demographic data and online behavior data but not additional user data associated with the users in the second group;

determine one or more sets of matched users based on the demographic data and online behavior data included in the first data set and the demographic data and online behavior data included in the second data set, wherein each set includes a user from the first group matched with a user from the second group;

generate, based on the one or more sets of matched users, an augmented second data set that includes additional user data associated with the users in the second group; and

generate one or more reports based on the augmented second data set.