ADVERTISEMENT CUSTOMIZATION

• US 20130054355A1
• Filed: 08/29/2011
• Published: 02/28/2013
• Est. Priority Date: 08/29/2011
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Chung, Wook Jin, Raza, Mirza Muhammad
• Application Number:
  US13/219,900
• Publication Number:
  US 20130054355A1
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/0241 Advertisements

Abstract

One or more techniques and/or systems are disclosed for providing a customized advertisement for a user. A request can be received from an advertising service, where the request comprises a user topic, such as a topic comprised in an advertisement intended to be customized for the user. One or more user aspects are identified for the user topic, and respective impact factors are determined for at least some of the one or more user aspects. The user aspects for the user topic can be ranked according to their corresponding impact factors, and the ranking can be returned to the advertising service in response to the request. The advertising service may use at least some of the ranking to customize the advertisement to be shown to the user (e.g., so that higher ranked aspects are emphasized more heavily in the advertisement than lower ranked aspects).

Claims

1. A method for providing a customized advertisement for a user, comprising:

receiving a request comprising a user topic;

determining respective impact factors for one or more user aspects identified in the user topic; and

returning a ranking of at least one of the one or more user aspects in response to the request, the ranking based at least upon the impact factors, at least some of at least one of the ranking used to customize an advertisement for the user, and at least some of the receiving, the determining and the returning implemented at least in part via a processing unit.

2. The method of claim 1, comprising identifying a base topic from an online user interaction, comprising one or more of:

identifying an indication of a user interaction with online content; and

determining a topic category for the online content.

3. The method of claim 2, comprising identifying one or more base aspects for the base topic.

4. The method of claim 3, comprising one or more of:

identifying base aspect metadata for the one or more base aspects; and

selectively storing base aspect metadata for the one or more base aspects in corresponding aspect data stores.

5. The method of claim 3, comprising identifying a common aspect among the one or more base aspects for the base topic and one or more second base aspects for a second base topic.

6. The method of claim 5, comprising determining respective impact factors for at least some of the one or more base aspects, based at least upon the identified common aspect.

7. The method of claim 6, comprising storing the respective impact factors for the one or more base aspects in an impact factor data store.

8. The method of claim 2, comprising matching the user topic to a base topic stored in a topic data store.

9. The method of claim 1, comprising identifying the one or more user aspects for the user topic.

10. The method of claim 9, comprising one or more of:

matching a first user aspect of the one or more user aspects to a corresponding base aspect stored in an aspect data store; and

retrieving an impact factor corresponding to the matched base aspect from an impact factor data store.

11. The method of claim 1, comprising ranking at least some of the one or more user aspects based at least upon a corresponding impact factor.

12. The method of claim 1, comprising updating an impact factor for a base aspect based at least in part upon online user interaction.

13. A system for providing a customized advertisement for a user, comprising:

a computer-based processor configured to process data for the system;

an impact factor determination component, operably coupled with the processor, configured to determine respective impact factors for one or more user aspects identified from a user topic received in a first request; and

an aspect ranking component, operably coupled with the impact factor determination component, configured to return a ranking of at least one of the one or more user aspects in response to the request, the ranking based at least upon the impact factors, at least some of the ranking used to customize an advertisement for the user.

14. The system of claim 13, comprising a user engagement component configured to perform one or more of:

identify an online user interaction;

identify a base topic from the online user interaction;

store the base topic in a topic data store;

forward the base topic to a categorization component; and

forward the base topic to an impact factor updating component.

15. The system of claim 14, comprising a categorization component configured to perform one or more of:

determine a base topic category for the base topic, determine a user topic category for the user topic;

store the base topic in a corresponding base topic category data store; and

match the user topic category to a stored base topic.

16. The system of claim 14, comprising an aspect determination component configured to perform one or more of:

identify one or more base aspects for the base topic;

store the one or more base aspect in an aspect data store; and

identify one or more user aspects for the user topic.

17. The system of claim 16, comprising a commonality component configured to perform one or more of:

identify a common aspect among the one or more base aspects for the base topic and one or more second base aspects for a second base topic;

forward a base aspect corresponding to a common aspect to an impact factor data store; and

match a first user aspects to a corresponding base aspect.

18. The system of claim 17, comprising an impact factor data store configured to perform one or more of:

identify an impact factor for a base aspect corresponding to the common aspect;

store the impact factor for the base aspect corresponding to the common aspect; and

provide the impact factor for the base aspect corresponding to the common aspect to the impact factor determination component.

19. The system of claim 13, comprising an impact factor updating component configured to update an impact factor of a base aspect based at least upon online user interaction.

20. A computer readable medium comprising computer executable instructions that when executed via a processing unit on a computer perform a method for providing a customized advertisement for a user, comprising:

identifying a base topic from an online user interaction;

identifying one or more base aspects for the base topic;

identifying a common aspect among the one or more base aspects for the base topics and one or more second base aspects for a second base topic;

determining respective impact factors for at least some of the one or more base aspects, based at least upon the identified common aspect;

receiving a request comprising a user topic;

determining respective impact factors for one or more user aspects identified in the user topic, comprising;

matching a first user aspect of the one or more user aspects to a corresponding base aspect stored in an aspect data store; and

retrieving an impact factor corresponding to the matched base aspect, from an impact factor data store;

ranking at least some of the one or more user aspects based at least upon a corresponding impact factor; and

returning the ranking of at least one of the one or more user aspects in response to the request, at least some of the ranking used to customize an advertisement for the user.