User list identification

• US 9,262,742 B2
• Filed: 08/30/2011
• Issued: 02/16/2016
• Est. Priority Date: 09/01/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Moonka, Rajas, Agarwal, Anurag, Zamir, Oren E.
• Primary Examiner(s): Wilson, Kimberly
• Assistant Examiner(s): Pham, Michael
• Application Number:
  US13/221,262
• Publication Number:
  US 20120054189A1
• Time in Patent Office: 1,631 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Systems, methods, computer program products are provided for presenting content. An example computer implemented method includes identifying, by a data exchange engine executing on one or more processors, one or more user lists based on owned or permissioned data, each user list including a unique identifier; associating metadata with each user list including data describing a category for the user list, population data describing statistical or inferred data concerning a list or members in a given user list and subscription data including data concerning use of a given user list; storing in a searchable database a user list identifier and the associated metadata; and publishing for potential subscribers a list of the user lists including providing an interface that includes for each user list the unique identifier and the associated metadata.

Claims

1. A computer implemented method, comprising:

identifying, by a data exchange engine executing on one or more processors, one or more user lists based on owned or permissioned data, each user list including a unique identifier;

associating metadata with each user list including data describing a category for the user list, population data including recency of updates of members of the user list or subscriber reviews of the user list, and subscription data that includes subscriber cost information for subscribing to the user list including a cost for using the user list as selection criteria for a campaign and restrictions on combining user list data with other data including restrictions on using the user list data with data associated with a particular geographic region or data associated with a particular category;

storing in a searchable database a user list identifier and the associated metadata for each list;

publishing for potential subscribers a list of the user lists by providing an interface that includes for each user list the unique identifier and the associated metadata;

after the publishing, receiving one or more criteria from a potential subscriber to a user list wherein the criteria includes a category, recency threshold, review threshold, cost threshold or restriction threshold;

evaluating the received one or more criteria to determine one or more candidate user lists that satisfy the one or more criteria for presentation to the potential subscriber; and

presenting candidate user lists as a recommendation to the potential subscriber.

2. The method of claim 1, wherein the user list includes qualification data describing qualifications for members to be included in a user list, wherein storing includes storing the qualification data and publishing includes publishing the qualification data along with the associated metadata.

3. The method of claim 2, wherein the qualification data includes a number of page views required by members to qualify for membership in a user list.

4. The method of claim 1, wherein the associated metadata includes data developed by a non-owner of a respective user list relating to cross correlations between members included in a user list.

5. The method of claim 1, wherein the associated metadata includes data developed by a non-owner of the user list data relating to inferences about members included in a user list.

6. The method of claim 5, wherein the developed data includes correlations developed from analyzing data known by the non-owner of members in a given user list.

7. The method of claim 5, wherein the developed data is demographic data.

8. The method of claim 5, wherein the developed data is inference information developed from data related to members in a given user list and that is known by the non-owner, and wherein the developed data is inferred from data selected from a group comprising similar web sites visited, videos viewed, types of searches conducted, determined related interest categories, determined geographical distribution, or calculated score for a probability to purchase goods or services.

9. The method of claim 1, wherein storing includes indexing the metadata for ease of retrieval based on received queries.

10. The method of claim 1, wherein the population data includes a popularity rating for the user list.

11. The method of claim 1, wherein the population data includes likely page views for a given member of a user list on a given slice of inventory.

12. The method of claim 1, wherein the subscription data includes best practices for use of the user list data.

13. The method of claim 1, further comprising:

receiving a query including one or more query terms that describes an audience that a consumer is attempting to target;

searching the database for matching user lists based on the query terms; and

presenting matching user lists responsive to the query.

14. The method of claim 13, wherein the received query includes a user list the potential subscriber is currently subscribed to.

15. The method of claim 13, wherein the received query includes a user list, and the method includes determining user lists similar to the user list included in the received query.

16. The method of claim 13, wherein the received query includes a set of websites/pages that are of interest to the potential subscriber.

17. The method of claim 13, wherein the received query includes a set of video channels or categories that are of interest to the potential subscriber.

18. The method of claim 13, wherein the received query includes a set of keywords describing an audience the potential subscriber is seeking to target.

19. The method of claim 13, wherein the received query includes use data describing an intended use of data in a candidate user list and the method includes providing user lists that include subscription restrictions that match and allow the use.

20. The method of claim 13, wherein searching the database for matching user lists based on the query terms further comprises using past and current subscription information associated with a consumer that provided the query to filter matching user lists and provide personalized results in response to the query.

21. The method of claim 1, wherein the one or more criteria are based on terms provided by a potential subscriber that describe an audience of interest that the potential subscriber is attempting to target.

22. The method of claim 1, wherein the one or more criteria are based on historical use of user list data by a respective potential subscriber.

23. The method of claim 1, wherein the one or more criteria are based on similarities between two or more user lists.

24. The method of claim 1, wherein the recommendation is based at least in part on a potential subscriber'"'"'s vertical.

25. The method of claim 1, wherein the recommendation is based at least in part on demographic information provided by the potential subscriber.

26. The method of claim 1, wherein the recommendation is based at least in part on concepts provided as part of an advertising campaign planning operation.

27. The method of claim 1, wherein the recommendation is based at least in part on web site suggestions made by a potential subscriber.

28. The method of claim 1, wherein the recommendation is based at least in part on search queries provided by a potential subscriber.