Methods, systems, and products for tailored content

• US 8,700,419 B2
• Filed: 06/15/2012
• Issued: 04/15/2014
• Est. Priority Date: 12/14/2001
• Status: Expired due to Fees

• Current Assignee: Alphonso, Inc.
• 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:
  US13/523,916
• Publication Number:
  US 20120260279A1
• Time in Patent Office: 669 Days
• Field of Search: 705 11-912
• 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 tailor content to users. Clickstream data is merged with a user attribute and content information. A merged record is compared to advertising attributes of advertisements. When the merged record matches an advertising attribute, an advertisement associated with the advertising attribute is retrieved and sent to the user.

Claims

1. A method, comprising:

receiving clickstream data describing actions entered by a user while viewing content;

retrieving a user attribute of the user;

retrieving content information describing the content;

merging the clickstream data with the user attribute and with the content information to generate in memory data of a timeline describing the content information associated to the clickstream data;

comparing by a processor the data of the timeline to advertising attributes of advertisements;

determining by the processor the data of the timeline matches one of the advertising attributes;

retrieving an advertisement associated with the one of the advertising attributes; and

sending the advertisement to the user.

2. The method of claim 1, further comprising querying a database of advertisements for the one of the advertising attributes.

3. The method of claim 1, further comprising retrieving an incentive associated with the clickstream data.

4. The method of claim 1, further comprising retrieving an incentive associated with the content.

5. The method of claim 1, further comprising retrieving an incentive associated with the advertisement.

6. The method of claim 1, further comprising predicting purchasing habits from the data of the event timeline.

7. The method of claim 6, further comprising selecting the advertisement based on the purchasing habits.

8. A system, comprising:

a processor; and

memory storing code that when executed causes the processor to perform operations, the operations comprising;

receiving clickstream data describing actions entered by a user while viewing content;

receiving a user attribute of the user;

retrieving content information describing the content;

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

comparing the data of the timeline to advertising attributes of advertisements;

determining the data of the timeline matches one of the advertising attributes;

retrieving an advertisement associated with the one of the advertising attributes; and

sending the advertisement to the user.

9. The system of claim 8, wherein the operations further comprise querying a database of advertisements for the one of the advertising attributes.

10. The system of claim 8, wherein the operations further comprise retrieving an incentive associated with the clickstream data.

11. The system of claim 8, wherein the operations further comprise retrieving an incentive associated with the content.

12. The system of claim 8, wherein the operations further comprise retrieving an incentive associated with the advertisement.

13. The system of claim 8, wherein the operations further comprise predicting purchasing habits from the data of the event timeline.

14. The system of claim 13, wherein the operations further comprise selecting the advertisement using the purchasing habits.

15. A memory storing instructions that when executed cause a processor to perform operations, the operations comprising:

receiving clickstream data describing actions entered by a user while viewing content;

retrieving a user attribute of the user;

retrieving content information describing the content;

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

comparing the data of the timeline to advertising attributes of advertisements;

determining the data of the timeline matches one of the advertising attributes;

retrieving an advertisement associated with the one of the advertising attributes; and

sending the advertisement to the user.

16. The memory of claim 15, wherein the operations further comprise querying a database of advertisements for the one of the advertising attributes.

17. The memory of claim 15, wherein the operations further comprise retrieving an incentive associated with the clickstream data.

18. The memory of claim 15, wherein the operations further comprise retrieving an incentive associated with the content.

19. The memory of claim 15, wherein the operations further comprise retrieving an incentive associated with the advertisement.

20. The memory of claim 15, wherein the operations further comprise predicting purchasing habits from the data of the event timeline.