DATED METADATA TO SUPPORT MULTIPLE VERSIONS OF USER PROFILES FOR TARGETING OF PERSONALIZED CONTENT

• US 20100082527A1
• Filed: 09/24/2008
• Published: 04/01/2010
• Est. Priority Date: 09/24/2008
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Jain, Ankur
• Application Number:
  US12/237,327
• Publication Number:
  US 20100082527A1
• Time in Patent Office: Days
• US Class Current: 707/603
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Profiles are maintained that are usable by a behavioral targeting service. A profile engine processes event indications that are both indicative of interaction by users generally with at least one online service and are specifically indicative of events usable for generating profile data for behavioral targeting to provide personalized content. It is determined which of a plurality of behavioral models to apply to an event indication based on a time associated with the event indication and time periods associated with the behavioral models. The determined behavioral model is applied to determine at least one updated profile. The behavioral targeting service determines which of the plurality of behavioral models to apply to the updated profile data based on a time associated with the updated profile, and processes the updated profile data provided by the profile engine according to the determined behavioral model and, based at least in part on the further processed updated profile data, causes personalized content to be provided in response to the request.

Claims

1. A method of maintaining profiles usable by a behavioral targeting service, comprising:

processing event indications, wherein the event indications being processed are indicative of interaction by users generally with at least one online service, wherein some of the event indications are indicative of events usable for generating profile data for behavioral targeting to provide personalized content, the processing of event indications to detect event indications that are indicative of events usable for generating profile data for behavioral targeting;

by a profile engine,

processing each detected event indication to

determine which of a plurality of behavioral models to apply to that detected event indication based on a time associated with the detected event indication and, for each of the plurality of behavioral models, a time period associated with that behavioral model,

apply the determined behavioral model, to determine at least one updated profile, and

provide the at least one updated profile data to the behavioral targeting service;

in response to a request for personalized content received by the behavioral targeting service after the updated profile data has been provided to the behavioral targeting service, determining which of the plurality of behavioral models to apply to the updated profile data based on a time associated with the updated profile, and further processing the updated profile data provided by the profile engine according to the determined behavioral model and, based at least in part on the further processed updated profile data, causing personalized content to be provided in response to the request.

2. The method of claim 1, wherein:

determining which of a plurality of behavioral models to apply to that detected event indication and determining which of the plurality of behavioral models to apply to the updated profile data includes processing model applicability metadata that characterizes the applicability of the models to the detected event indications and to the updated profile data.

3. The method of claim 2, wherein:

processing the model applicability metadata includes matching a time associated with the detected event indication and a time associated with the updated profile data to time indications included in the model applicability metadata.

4. The method of claim 2, wherein:

processing the model applicability metadata includes matching a user associated with the detected event indication and a user associated with the updated profile data to user indications included in the model applicability metadata

5. The method of claim 2, further comprising:

modifying the metadata such that indicated events and updated profile data that would have been processed by applying a first particular model are instead processed by applying a second particular model.

6. A method of maintaining profiles usable by a behavioral targeting service, comprising:

by a profile engine,

processing each of a plurality of event indications, wherein each of the event indications processed are event indications that are both indicative of interaction by users generally with at least one online service and are specifically indicative of events usable for generating profile data for behavioral targeting to provide personalized content, the processing including to

determine which of a plurality of behavioral models to apply to that event indication based on a time associated with the event indication and, for each of the plurality of behavioral models, a time period associated with that behavioral model,

apply the determined behavioral model, to determine at least one updated profile, and

provide the at least one updated profile data to the behavioral targeting service; and

in response to a request for personalized content received by the behavioral targeting service after the updated profile data has been provided to the behavioral targeting service, determining which of the plurality of behavioral models to apply to the updated profile data based on a time associated with the updated profile, and further processing the updated profile data provided by the profile engine according to the determined behavioral model and, based at least in part on the further processed updated profile data, causing personalized content to be provided in response to the request.

7. The method of claim 6, wherein:

determining which of a plurality of behavioral models to apply to that detected event indication and determining which of the plurality of behavioral models to apply to the updated profile data includes processing model applicability metadata that characterizes the applicability of the models to the detected event indications and to the updated profile data.

8. The method of claim 7, wherein:

processing the model applicability metadata includes matching a time associated with the detected event indication and a time associated with the updated profile data to time indications included in the model applicability metadata.

9. The method of claim 7, wherein:

processing the model applicability metadata includes matching a user associated with the detected event indication and a user associated with the updated profile data to user indications included in the model applicability metadata

10. The method of claim 7, further comprising:

modifying the metadata such that indicated events and updated profile data that would have been processed by applying a first particular model are instead processed by applying a second particular model.

11. A behavioral targeting system, comprising:

a profile engine configured to

process each of a plurality of event indications, wherein each of the event indications processed are event indications that are both indicative of interaction by users generally with at least one online service and are specifically indicative of events usable for generating profile data for behavioral targeting to provide personalized content, the processing including to

determine which of a plurality of behavioral models to apply to that event indication based on a time associated with the event indication and, for each of the plurality of behavioral models, a time period associated with that behavioral model,

apply the determined behavioral model, to determine at least one updated profile, and

provide the at least one updated profile data to the behavioral targeting service; and

a behavioral targeting service configured to respond to a request for personalized content received by the behavioral targeting service after the updated profile data has been provided to the behavioral targeting service by

determining which of the plurality of behavioral models to apply to the updated profile data based on a time associated with the updated profile,

processing the updated profile data provided by the profile engine according to the determined behavioral model, and

based at least in part on the further processed updated profile data, causing personalized content to be provided in response to the request.

12. The system of claim 11, wherein:

determining which of a plurality of behavioral models to apply to that detected event indication and determining which of the plurality of behavioral models to apply to the updated profile data includes processing model applicability metadata that characterizes the applicability of the models to the detected event indications and to the updated profile data.

13. The system of claim 12, wherein:

processing the model applicability metadata includes matching a time associated with the detected event indication and a time associated with the updated profile data to time indications included in the model applicability metadata.

14. The system of claim 12, wherein:

processing the model applicability metadata includes matching a user associated with the detected event indication and a user associated with the updated profile data to user indications included in the model applicability metadata

15. The system of claim 12, further comprising:

modifying the metadata such that indicated events and updated profile data that would have been processed by applying a first particular model are instead processed by applying a second particular model.