Implicitly associating metadata using user behavior

• US 9,235,848 B1
• Filed: 07/08/2008
• Issued: 01/12/2016
• Est. Priority Date: 07/09/2007
• Status: Active Grant

• Current Assignee: Groupon Incorporated
• Original Assignee: Groupon Incorporated
• Inventors: Gauthier, Paul, Lerhaupt, Gary, Colby, Christopher, Gourley, David, Totty, Brian, Haslam, Ed, Chen, Mike Y.
• Primary Examiner(s): Chbouki, Tarek
• Application Number:
  US12/169,599
• Time in Patent Office: 2,744 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0209 Incentive being awarded or redeemed in connection with the playing of a video game
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Claims

1. A method comprising:

receiving, by a computer processor, a set of data entities representing users'"'"' physical interactions with tangible real-world entities, wherein the tangible real-world entities include geographical locations and physical objects located at the geographical locations;

providing a metadata collector to at least one user, wherein the metadata collector is associated with at least one metadata element;

receiving user interaction data generated based on interaction between the at least one user and the metadata collector, wherein the user interaction data identifies at least one data entity of the set of data entities, wherein the at least one data entity is added to at least one user profile associated with the at least one user, and wherein the at least one user profile is created to describe the at least one user;

attempting to validate a physical interaction of the user with at least one tangible real-world entity represented by the identified at least one data entity using one or more of the group consisting of;

location data of the at least one user;

photographs associated with the at least one user;

the user interaction data;

or any combination thereof, wherein the location data of the at least one user, the photographs associated with the at least one user, or the user interaction data indicate whether the user has been at geographical locations of the at least one tangible real-world entity;

in an instance in which the physical interaction is validated, generating an association between the at least one metadata element and the at least one data entity, and the user profile associated with the at least one user; and

evaluating the user interaction data and the user profile associated with the at least one user to determine an association weight of the generated association between the at least one metadata element and the at least one data entity added to the user profile associated with the at least one user, wherein the generated association either increases or decreases based on the determined association weight.

2. The method of claim 1, wherein the user interaction data includes a user selection of the at least one data entity.

3. The method of claim 2, wherein the user selection indicates that the user has completed an activity represented by the at least one data entity.

4. The method of claim 2, wherein the user selection indicates that the at least one user intends to complete an activity represented by the at least one data entity.

5. The method of claim 2, wherein the user selection indicates a user intention to add the at least one data entity to a presentation associated with the metadata collector.

6. The method of claim 1, wherein the association weight is based on factors including a user rating of the at least one data entity.

7. The method of claim 1, wherein the association weight is based on factors including a user reputation.

8. The method of claim 1, wherein the association weight is based on factors including a determination of user expertise.

9. The method of claim 8, wherein the determination of user expertise is based on a portion of a user profile associated with the at least one metadata element.

10. The method of claim 1, wherein the data entities are selected from a group consisting of:

a user profile,

an expression,

an expression recognition, and

a discussion.

11. The method of claim 1, further comprising:

generating an association between the at least one metadata element and the at least one user profile associated with the at least one user in response to the user interaction data.

12. The method of claim 1, further comprising:

generating an association between a second metadata element and the at least one user profile associated with the at least one user in response to the user interaction data.

13. The method of claim 1, wherein the metadata collector is selected from a group consisting of:

a list;

a survey;

a poll;

a questionnaire;

a census;

a test; and

a presentation adapted to solicit user interaction.

14. The method of claim 1, wherein providing the metadata collector to the at least one user comprises:

generating a presentation including at least a portion of the set of data entities; and

providing the presentation to the at least one user.

15. The method of claim 1, wherein evaluating the user interaction data to determine an association weight for the association comprises:

updating a metadata association status of the at least one data entity in response to the user interaction data;

evaluating the metadata association status against a set of criteria to determine if there is a relationship between the at least one data entity and the at least one metadata element; and

wherein generating the association between the at least one metadata element and the at least one data entity in response to the user interaction data comprises;

associating the at least one data entity with the at least one metadata element in response to the determination that the metadata association status satisfies the criteria.

16. The method of claim 15, wherein the criteria is a global criteria.

17. The method of claim 15, wherein at least a portion of the criteria is included in the metadata collector.

18. The method of claim 15, wherein at least a portion of the criteria is included in the data entity.

19. The method of claim 1, further comprising:

analyzing at least one of the set of data entities to determine a search term;

generating a search query including the search term;

receiving search query results in response to the search query;

analyzing the search query results to determine at least one additional metadata element; and

associating the at least one additional metadata element with the one of the set of data entities.

20. The method of claim 1, wherein the search query is adapted to retrieve additional data entities, the method comprising:

associating the additional data entities with the at least one additional metadata element and the one of the set of data entities.