System for determining interests of users of mobile and nonmobile communication devices based on data received from a plurality of data providers

Abstract

A system for determining interests of users of mobile and non-mobile communication devices based on data received from a plurality of data providers, wherein the system is configured to perform the steps of: (a) obtaining multiple datasets, wherein each dataset comprises at least one user and at least one corresponding attribute for the at least one user; (b) creating a first cluster comprising a first user from at least one dataset and the at least one corresponding attribute for the first user; (c) creating a second cluster comprising a second user from the at least one dataset and the at least one corresponding attribute for the second user; (d) merging the first cluster with the second cluster; and (e) assigning values to previously unknown attributes based on probabilistic estimations.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Pat. App. No. 61 / 558,522 filed Nov. 11, 2011, and titled “Targeted Advertising Across a Plurality of Mobile and Non-Mobile Communication Facilities Accessed By the Same User,” U.S. Provisional Pat. App. No. 61 / 569,217 filed Dec. 9, 2011, and titled “Targeted Advertising Across Web Activities On an MCF and Applications Operating Thereon,” U.S. Provisional Pat. App. No. 61 / 576,963 filed Dec. 16, 2011, and titled “Targeted Advertising to Mobile Communication Facilities,” and U.S. Provisional Pat. App. No. 61 / 652,834 filed May 29, 2012, and titled “Validity of Data for Targeting Advertising Across a Plurality of Mobile and Non-Mobile Communication Facilities Accessed By the Same User,” the contents of which are incorporated herein by reference.[0002]This application also incorporates herein by reference the content of each of the following applications: U.S. application No. 13 / 666,690, f...

AI Technical Summary

Benefits of technology

The present invention is a system that can select and target advertising content for mobile and non-mobile communication devices based on data from multiple sources. The system can create a first cluster based on data from a first source and a second cluster based on data from a second source. The system can then assign values to attributes based on probabilistic estimations. The system can also use likes and dislikes of attributes to select relevant advertisements for users. The technical effect of this invention is to provide a more efficient and effective way to advertise to mobile and non-mobile users.

Problems solved by technology

Internet-based advertising techniques are currently unable to optimally target and deliver content, such as advertisements, for a mobile communication facility (e.g., smartphone, tablet device, etc.) because the prior art techniques are specifically designed for the Internet in a non-mobile device context.

These prior art techniques fail to take advantage of unique data assets derived from telecommunications and fixed mobile convergence networks.

As it becomes commonplace for a user to interchangeably access the Internet via his smartphone, tablet, PC, and television, there is no efficient way to optimally target that same user across all the devices he may use.

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