System and method for utilizing television viewing patterns

• US 9,967,633 B1
• Filed: 12/14/2001
• Issued: 05/08/2018
• Est. Priority Date: 12/14/2001
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Matz, William R., Swix, Scott R.
• Primary Examiner(s): Chen, Cai
• Assistant Examiner(s): Brown, Reuben M
• Application Number:
  US10/017,742
• Time in Patent Office: 5,989 Days
• Field of Search: 725 13- 14, 725 9, 725 34- 35, 725 46, 725 45
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/43 for identifying broadcast channels
• CPC Class Codes: H04H 60/63 for services of sales data processing systems or methods specially adapted for electronic commerce G06Q30/00
• CPC Class Codes: H04H 60/66 for using the result on distributors' side
• CPC Class Codes: H04N 21/2408 Monitoring of the upstream path of the transmission network, e.g. client requests monitoring data switching networks utilization H04L43/0876; scheduling or organising the servicing of application requests H04L67/60
• 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 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

Systems and methods for effectively and efficiently receiving, analyzing, and using subscriber content choice information are described. One embodiment of the present invention includes a subscriber-action database, such as a clickstream database, a media-content database, and a merge processor electronically connected to the two databases for merging data in the subscriber-action database with data in the media-content database to create a subscriber content-choice database. The media-content database may include programming and/or advertising data. The media-content database may also include category and context information to provide the capability to comprehensively analyze data in the subscriber content-choice database.

Claims

1. A method, comprising:

receiving, by a processor, content information from content databases, the content information describing content available at dates and times;

receiving, by the processor, clickstream data from a clickstream database, the clickstream data sent from a set top box, the clickstream data describing actions entered at the dates and times;

receiving, by the processor, category data from a category database, the category data comprising categories to which the content information is assigned;

assigning, by the processor, a category of the categories to the content information to generate categorized content information;

processing, by the processor, the clickstream data stored in the clickstream database according to a hierarchy;

determining, by the processor, a content source associated with the content information, the processor determining the content source based on the clickstream data stored in the clickstream database according to the hierarchy, the hierarchy first causing the processor to inspect the clickstream data to determine an alternate video source as the content source to the set top box, the hierarchy second causing the processor to inspect the clickstream data to determine a channel as the content source, the hierarchy third causing the processor to query a local content database of the content databases to determine local programming provided via the channel as the content source, the hierarchy fourth causing the processor to query a national content database of the content databases to determine national programming provided via the channel as the content source, and the hierarchy fifth causing the processor to determine no content was available via the channel;

merging, by the processor, the clickstream data with the categorized content information to generate data describing an event timeline, the data describing the event timeline indicating the clickstream data and the categorized content information at the dates and times; and

predicting, by the processor, a future action entered at the set top box at a future time based on a probability analysis of the data describing the event timeline.

2. The method of claim 1, further comprising determining seasonal differences in the data describing the event timeline during different seasons.

3. The method of claim 1, further comprising projecting a purchase based on the data describing the event timeline.

4. The method of claim 1, wherein receiving the content information comprises receiving a record indicating the content was one of the local programming, local advertising, the national programming, and national advertising.

5. The method of claim 1, further comprising combining the data describing the event timeline with purchasing information.

6. The method of claim 1, wherein receiving the content information comprises receiving an attribute of the local programming.

7. The method of claim 1, further comprising correlating the data describing the event timeline with preceding clickstream data received during preceding content.

8. The method of claim 1, further comprising determining, from the data describing the event timeline, a duration between successive ones of the actions.

9. The method of claim 1, wherein receiving the content information comprises receiving an identifier of an advertiser.

10. The method of claim 1, further comprising retrieving purchasing information describing one or more purchases associated with the set top box.

11. The method of claim 10, further comprising combining the data describing the event timeline with the purchasing information.

12. The method of claim 1, wherein receiving the clickstream data comprises receiving a subscriber identifier.

13. The method of claim 1, further comprising querying for a genre associated with the content.

14. The method of claim 1, wherein receiving the clickstream data comprises receiving an indication that the alternate video source is selected.

15. The method of claim 1, further comprising timestamping the clickstream data.

16. A method, comprising:

receiving, by a processor, content information describing content available from content sources at dates and times;

processing, by the processor, clickstream data stored in a clickstream database according to a hierarchy to determine a content source of the content sources that is providing the content currently being displayed, the clickstream data describing actions generated by a set top box during the content currently being displayed, the hierarchy first inspecting the clickstream data to determine an alternate video source as the content source, the hierarchy second inspecting the clickstream data to determine a channel as the content source, the hierarchy third querying a local content database to determine local programming provided via the channel as the content source, the hierarchy fourth querying a national content database to determine national programming provided via the channel as the content source, and the hierarchy fifth determining no content was available via the channel;

merging, by the processor, the clickstream data with the content information to generate data describing an event timeline of the actions generated by the set top box during the content; and

predicting, by the processor, a future action generated by the set top box at a future time based on a probability analysis of the data describing the event timeline that merges the clickstream data with the content information.

17. The method of claim 16, further comprising categorizing the content information.

18. The method of claim 16, further comprising receiving a genre associated with the content information.

19. The method of claim 16, further comprising assigning a date and time to the clickstream data.

20. The method of claim 16, further comprising determining seasonal differences in the data describing the event timeline during different seasons.

21. The method of claim 16, further comprising receiving an attribute of the national programming.

22. The method of claim 16, further comprising correlating preceding clickstream data during preceding content.

23. The method of claim 16, wherein receiving the clickstream data comprises receiving a duration between successive ones of the actions.

24. The method of claim 16, further comprising receiving an identifier associated with an advertiser associated with a national advertisement.

25. The method of claim 16, further comprising retrieving purchasing information describing one or more purchases associated with the set top box.

26. The method of claim 25, further comprising combining the data describing the event timeline with the purchasing information.

27. A computer-readable memory storing code that when executed causes a processor to perform operations, the operations comprising:

receiving content information describing content available from different content sources at dates and times;

receiving clickstream data stored in a clickstream database, the clickstream data describing actions generated by a set top box at the dates and times;

processing the clickstream data stored in the clickstream database according to a hierarchy to determine a content source of the different content sources that is providing the content currently being displayed, the hierarchy first inspecting the clickstream data to determine an alternate video source as the content source, the hierarchy second inspecting the clickstream data to determine a channel as the content source, the hierarchy third querying a local content database to determine local programming provided via the channel as the content source, the hierarchy fourth querying a national content database to determine national programming provided via the channel as the content source, and the hierarchy fifth determining no content was available via the channel;

merging the clickstream data with the content information to generate data describing an event timeline; and

predicting a future action generated by the set top box at a future time based on a probability analysis of the data describing the event timeline that merges the clickstream data with the content information.

28. A system, comprising:

a hardware processor; and

a memory device, the memory device storing code, the code when executed causing the hardware processor to perform operations, the operations comprising;

receiving content information describing available content that is available from different content sources at dates and times;

displaying electronic content;

processing clickstream data stored in a clickstream database according to a hierarchy to determine a content source of the different content sources that is providing the electronic content currently being displayed, the clickstream data describing actions generated by a set top box at the dates and times, the hierarchy first inspecting the clickstream data to determine an alternate video source as the content source, the hierarchy second inspecting the clickstream data to determine a channel as the content source, the hierarchy third querying a local content database to determine local programming provided via the channel as the content source, the hierarchy fourth querying a national content database to determine national programming provided via the channel as the content source, and the hierarchy fifth determining no content was available via the channel;

merging the clickstream data with the content information to generate data describing an event timeline that indicates the clickstream data and the content information over time;

retrieving purchasing information describing a purchase associated with the set top box;

comparing the data describing the event timeline with the purchasing information;

determining at least a portion of the purchasing information matches the data describing the event timeline;

determining a category associated with the purchasing information that matches the data describing the event timeline; and

predicting a future action entered at the set top box at a future time based on the category associated with the purchasing information that matches the data describing the event timeline.