Methods and systems for generating subscriber usage profiles in a multi-platform targeted advertising system

• US 8,776,111 B1
• Filed: 10/08/2009
• Issued: 07/08/2014
• Est. Priority Date: 10/08/2009
• Status: Active Grant

• Current Assignee: Prime Research Alliance E, LLC
• Original Assignee: Prime Research Alliance E., Inc.
• Inventors: Eldering, Charles A., Yu, Yang
• Primary Examiner(s): GAY, SONIA L
• Application Number:
  US12/575,973
• Time in Patent Office: 1,734 Days
• Field of Search: 725/35, 705/14.49, 705/14.53, 705/14.52, 705/14.66, 705/14.67
• US Class Current: 725/34
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04H 60/31 Arrangements for monitoring the use made of the broadcast services
• CPC Class Codes: H04H 60/66 for using the result on distributors' side
• CPC Class Codes: H04H 60/82 the transmission system being the Internet
• CPC Class Codes: H04H 60/94 Telephonic networks for accessing the Internet H04H60/84
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A method and system for creating a subscriber profile based on a subscriber'"'"'s use of a multi-platform system capable of being accessed by a subscriber over a transmission medium includes a central computer sending a first data request to a first computer configured to monitor data transmitted over a first telecommunication platform. A second data request is sent by the central computer to a second computer configured to monitor data transmitted over a plurality of other telecommunication platforms. The central computer receives a first data log indicative of the subscriber'"'"'s use of the first telecommunication platform and a second data log indicative of the subscriber'"'"'s use of the other telecommunication platforms. A subscriber access pattern is detected by the central computer based on the first data log and the second data log. The central computer creates the subscriber profile using the detected subscriber access pattern.

Claims

1. A computer-implemented method of creating a subscriber profile based on a subscriber'"'"'s use of a multi-platform system, wherein the multi-platform system comprises a plurality of telecommunication platforms, each capable of being accessed by a subscriber over a single transmission medium, the method comprising:

sending, by a central computer, a first data request to a first computer, wherein the first computer is configured to monitor data transmitted over a first telecommunication platform;

sending, by the central computer, a second data request to a second computer, wherein the second computer is configured to monitor data transmitted over a plurality of other telecommunication platforms;

receiving, by the central computer, a first data log indicative of the subscriber'"'"'s use of the first telecommunication platform;

receiving, by the central computer, a second data log indicative of the subscriber'"'"'s use of at least one of the plurality of other telecommunication platforms;

correlating, by the central computer, the first data log and the second data log to detect at least one subscriber access pattern, wherein the at least one subscriber access pattern is indicative of a repeated sequence of subscriber interactions with the first computer and the second computer; and

applying, by the central computer, the at least one subscriber access pattern to forecast subscriber behavior over the plurality of telecommunications platforms, wherein the subscriber behavior includes a next URL (Uniform Resource Locator) accessed over an Internet platform, a next channel accessed over a television platform, a time for a next channel change on the television platform, a viewing duration of the television platform by the subscriber, and an interaction duration with the Internet platform by the subscriber.

2. The method of claim 1, wherein the first computer is a television set-top box and the first telecommunication platform provides television service.

3. The method of claim 2, wherein the plurality of other telecommunication platforms provides at least an Internet service and a telephone service.

4. The method of claim 1, further comprising:

selecting, at the central computer, an advertisement using the forecasted subscriber behavior.

5. The method of claim 4, further comprising:

sending, by the central computer, the advertisement to the first computer over the transmission medium; and

presenting, by the first computer, the advertisement over the first telecommunication platform.

6. The method of claim 4, further comprising:

sending, by the central computer, the advertisement to the second computer over the transmission medium; and

presenting, by the second computer, the advertisement over the second telecommunication platform.

7. The method of claim 1, wherein the first computer is a mobile device.

8. The method of claim 1, wherein the second computer is a mobile device.

14. The computer-implemented method of claim 1, wherein the first data log includes a category of one or more content types, keywords associated with the one or more content types, the format of the one or more content types, and the telecommunication platform used to access the one or more content types.

15. The computer-implemented method of claim 1, wherein the second data log includes device of access, device attributes, frequency of access, duration of access, location of access, time of access, day of access, date of access, type of access and the telecommunication platform of access.

9. A computer-implemented method of creating a household profile based on a household'"'"'s use of a multi-platform system, wherein the multi-platform system comprises a plurality of telecommunication platforms, each capable of being accessed by the household over a single transmission medium, the method comprising:

sending, from a central computer, a plurality of data requests to a plurality of computers associated with the household, wherein each of the computers is configured to monitor data transmitted over at least one of the telecommunications platforms;

receiving, at a central computer, a plurality of data logs, wherein each data log is indicative of the household'"'"'s use of a respective one of the telecommunications platforms;

detecting, at the central computer, a plurality of content types associated with the data in the plurality of data logs, wherein the plurality of content types includes a category of the one or more content types, keywords associated with the one or more content types, the format of the one or more content types, and the telecommunication platform used to access the one or more content types;

detecting, at the central computer, one or more access patterns within the plurality of data logs, wherein the one or more access patterns are identified by device of access, device attributes, frequency of access, duration of access, location of access, time of access, day of access, date of access, type of access and the telecommunication platform of access;

retrieving, at the central computer, demographic data stored in a demographic database communicatively coupled to the central computer; and

correlating, at the central computer, the plurality of content types, the one or more access patterns, and the demographic data to forecast household behavior over the plurality of telecommunications platforms, wherein the household behavior includes a next URL (Uniform Resource Locator) accessed over an Internet platform, a next channel accessed over a television platform, a time for a next channel change on the television platform, a viewing duration of the television platform, and an interaction duration with the Internet platform.

10. The method of claim 9, further comprising:

selecting, by the central computer, an advertisement for the subscriber household using the forecasted household behavior; and

presenting the advertisement to the subscriber household using at least one of the plurality of telecommunication platforms.

11. The method of claim 10, further comprising:

detecting, by the central computer, a response value associated with the presented advertisement;

deriving, by the central computer, subscriber household member information based at least on the response value; and

updating, by the central computer, the forecasted household behavior based on the response value and the subscriber household member information.

12. The method of claim 9, further comprising:

identifying, by the central computer, at least one market segment behavior based on the forecasted household behavior; and

assigning, by the central computer, the subscriber household to at least one market segment based on the at least one market segment behavior.

13. The method of claim 12, further comprising:

sending, by the central computer, an advertisement opportunity message to at least one advertiser, wherein the advertisement opportunity message is commensurate with at least one of the assigned market segments.

16. A computer-implemented method of creating a subscriber profile based on a subscriber'"'"'s use of a multi-platform system, wherein the multi-platform system comprises a plurality of telecommunication platforms, each capable of being accessed by a subscriber over a single transmission medium, the method comprising:

collecting usage data of the subscriber from the plurality of telecommunications platforms;

identifying one or more content types of the usage data wherein the one or more content types includes a category of the one or more content types, keywords associated with the one or more content types, the format of the one or more content types, and the telecommunication platform used to access the one or more content types;

identifying one or more access patterns within the usage data wherein the one or more access patterns are identified by device of access, device attributes, frequency of access, duration of access, location of access, time of access, day of access, date of access, type of access and the telecommunication platform of access; and

correlating the one or more content types and the one or more access patterns across the plurality of telecommunications platforms to forecast subscriber behavior over the plurality of telecommunications platforms, wherein the subscriber behavior includes a next URL (Uniform Resource Locator) accessed over an Internet platform, a next channel accessed over a television platform, a time for a next channel change on the television platform, a viewing duration of the television platform by the subscriber, and an interaction duration with the Internet platform by the subscriber.

17. The computer-implemented method of claim 16, further comprising:

selecting an advertisement based upon the forecasted subscriber behavior; and

displaying the advertisement on at least one platform of the plurality of telecommunications platforms.