Methods, systems, and products for developing tailored content

• US 8,224,662 B2
• Filed: 07/31/2009
• Issued: 07/17/2012
• Est. Priority Date: 12/14/2001
• Status: Expired due to Fees

• Current Assignee: Alphonso, Inc. (LG Corporation)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Swix, Scott R., Matz, William R.
• Primary Examiner(s): OUELLETTE, JONATHAN P
• Application Number:
  US12/533,025
• Publication Number:
  US 20090292703A1
• Time in Patent Office: 1,082 Days
• Field of Search: None
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0252 based on events or environment, e.g. weather or festivals
• 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 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• 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 21/266 Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
• CPC Class Codes: H04N 21/435 Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
• 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

Methods, systems, and products are disclosed for developing tailored content. A selection of content is received. Content information is received that describes the selected content. Clickstream data is received that describes at least one subscriber'"'"'s action while receiving the selected content. A category is assigned to the selected content information. The content information is merged with the clickstream data to create content-choice information, and the content-choice information is stored in a database. The database is queried to obtain the content-choice information matching a search query.

Claims

1. A method, comprising:

receiving a selection of content from available content;

receiving, at a processor, content information describing the selection of content;

receiving, at the processor, clickstream data associated with the selection of content;

merging the content information with the clickstream data by the processor to generate data of a timeline describing the content information and the clickstream data; and

predicting purchasing habits from the data of the timeline.

2. The method according to claim 1, further comprising storing the data of the timeline in memory.

3. The method according to claim 1, further comprising querying the memory to obtain the available content matching a search query.

4. The method according to claim 1, further comprising associating an incentive to the data of the timeline.

5. The method according to claim 1, further comprising associating an incentive to the available content.

6. The method according to claim 1, further comprising associating a date and time stamp with the clickstream data.

7. The method according to claim 1, further comprising storing the data of the timeline as a record comprising a selected channel, national content available from a national provider, and local content available from a local provider.

8. The method according to claim 1, further comprising indicating that a subscriber viewed an alternate source of content.

9. The method according to claim 8, further comprising storing the data of the timeline as a record comprising the alternate source of content that supersedes entries for national content available from a national provider and local content available from a local provider.

10. The method according to claim 1, further comprising determining the selection of content according to a hierarchy that first determines whether an alternate source of content is found in the data of the timeline.

11. The method according to claim 1, further comprising determining the selection of content is provided by a local content provider.

12. The method according to claim 1, further comprising querying a local content database for local content provided by a local content provider.

13. The method according to claim 1, further comprising querying a national content database for national content provided by a national content provider.

14. The method according to claim 1, further comprising assigning a category to the data of the timeline.

15. A system, comprising:

a processor;

memory; and

code stored in the memory that when executed causes the processor at least to;

receive a selection of content from available content;

receive content information describing the selection of content;

receive clickstream data associated with the selection of content;

merge the content information with the clickstream data to generate data of a timeline describing the content information and the clickstream data; and

predict purchasing habits from the data of the timeline.

16. The system according to claim 15, further comprising code that causes the processor to query to obtain the available content matching a search query.

17. The system according to claim 15, further comprising code that causes the processor to associate an incentive to the data of the timeline.

18. The system according to claim 15, further comprising code that causes the processor to associate an incentive to the available content.

19. The system according to claim 15, further comprising code that causes the processor to associate a date and time stamp with the clickstream data.

20. A computer readable medium storing processor executable instructions for performing a method, the method comprising:

receiving a selection of content from available content;

receiving content information describing the selection of content;

receiving clickstream data associated with the selection of content;

merging the content information with the clickstream data to generate data of a timeline describing the content information and the clickstream data; and

predicting purchasing habits from the data of the timeline.