Recommended content for an endorsement user interface

Patent metadata

Field	Value
Publication number	US-9374396-B2
Application number	US-201213730252-A
Country	US
Kind code	B2
Filing date	Dec 28, 2012
Priority date	Jun 24, 2012
Publication date	Jun 21, 2016
Grant date	Jun 21, 2016

Abstract

In one aspect, a system for providing a user interface including recommended content in response to an endorsement input is described. The system includes a processor and a memory storing instructions that, when executed, causes the system to: receive an input from a first user; determine that the input is related to an endorsement of a first content item from a first source; determine a social correlation between the first content item and a second content item from a second source, determine a source correlation between the first source and the second source, determine recommended content using the social correlation and the source correlation and provide the recommended content to the first user.

First claim

What is claimed is:

1. A method comprising:
receiving an input from a first user;
determining that the input is related to an endorsement of a first content item from a first source;
determining that a social correlation exists between the first content item from the first source and a second content item from a second source by determining that a second user connected to the first user in a social graph performs a first type of engagement action on the first content item and a second type of engagement action on the second content item;
determining that a source correlation exists between the first source of the first content item and the second source of the second content item by determining that the first user performs an engagement action on both the first source of the first content and the second source of the second content item;
determining recommended content using the social correlation and the source correlation; and
generating graphical data for depicting a user interface element that provides the recommended content to the first user.

2. The method of claim 1 , wherein the first source and the second source are associated with a domain specified by a publisher and the recommended content includes the second content item.

3. The method of claim 1 , wherein the input is one of a request for an endorsement button to endorse the first content item, a cursor over the endorsement button, a selection of the endorsement button and a sharing of the first content item.

4. The method of claim 1 , further comprising determining a user context describing the first user, and wherein the recommended content is further determined based on the user context.

5. The method of claim 4 , wherein the user context describes one or more of a search history associated with the first user, social data associated with the first user, transaction data associated with the first user, advertisement data associated with the first user, whether the first user has made endorsements to other content items, whether a number of endorsements made by the first user is lower than a predetermined threshold, whether the first user has shared the first content item and whether the first user has commented on the first content item.

6. The method of claim 1 , wherein the recommended content is ordered by one of a number of social annotations and recency of the recommended content.

7. The method of claim 1 , wherein the user interface element is one of an endorsement button, an annotation and a share box.

8. A system comprising:
a processor, and;
a memory storing instructions that, when executed, cause the system to:
receive an input from a first user;
determine that the input is related to an endorsement of a first content item from a first source;
determine that a social correlation exists between the first content item from the first source and a second content item from a second source by determining that a second user connected to the first user in a social graph performs a first type of engagement action on the first content item and a second type of engagement action on the second content item;
determine that a source correlation exists between the first source of the first content item and the second source of the second content item by determining that the first user performs an engagement action on both the first source of the first content and the second source of the second content item;
determine recommended content using the social correlation and the source correlation; and
generate graphical data for depicting a user interface element that provides the recommended content to the first user.

9. The system of claim 8 , wherein the first source and the second source are associated with a domain specified by a publisher and the recommended content includes the second content item.

10. The system of claim 8 , wherein the input is one of a request for an endorsement button to endorse the first content item, a cursor over the endorsement button, a selection of the endorsement button and a sharing of the first content item.

11. The system of claim 8 , wherein the instructions when executed cause the system to determine a user context describing the first user, and wherein the recommended content is further determined based on the user context.

12. The system of claim 11 , wherein the user context describes one or more of a search history associated with the first user, social data associated with the first user, transaction data associated with the first user, advertisement data associated with the first user, whether the first user has made endorsements to other content items, whether a number of endorsements made by the first user is lower than a predetermined threshold, whether the first user has shared the first content item and whether the first user has commented on the first content item.

13. The system of claim 8 , wherein the recommended content is ordered by one of a number of social annotations and recency of the recommended content.

14. The system of claim 8 , wherein the user interface element is one of an endorsement button, an annotation and a share box.

15. A computer program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:
receive an input from a first user;
determine that the input is related to an endorsement of a first content item from a first source;
determine that a social correlation exists between the first content item from the first source and a second content item from a second source by determining that a second user connected to the first user in a social graph performs a first type of engagement action on the first content item and a second type of engagement action on the second content item;
determine that a source correlation exists between the first source of the first content item and the second source of the second content item by determining that the first user performs an engagement action on both the first source of the first content and the second source of the second content item;
determine recommended content using the social correlation and the source correlation; and
generate graphical data for depicting a user interface element that provides the recommended content to the first user.

16. The computer program product of claim 15 , wherein the first source and the second source are associated with a domain specified by a publisher and the recommended content includes the second content item.

17. The computer program product of claim 15 , wherein the input is one of a request for an endorsement button to endorse the first content item, a cursor over the endorsement button, a selection of the endorsement button and a sharing of the first content item.

18. The computer program product of claim 15 , wherein the computer readable program when executed on the computer further causes the computer to determine a user context describing the first user, and wherein the recommended content is further determined based on the user context.

19. The computer program product of claim 18 , wherein the user context describes one or more of a search history associated with the first user, social data associated with the first user, transaction data associated with the first user, advertisement data associated with the first user, whether the first user has made endorsements to other content items, whether a number of endorsements made by the first user is lower than a predetermined t

Assignees

• Google Inc

Inventors

• Borovoy Richard Daniel
• Hadden Lucy Elsbeth
• Borggaard Geoffrey Allen
• Farago Julie Heather
• Gilbert Evan
• Faller Jeremy
• Fickett Mark

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• H04L65/612 Primary

  for unicast · CPC title

• H04L65/403 Primary

  Arrangements for multi-party communication, e.g. for conferences (data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15) · CPC title

• G06Q50/01

  Physics · mapped topic

• G06Q10/10

  Office automation; Time management · CPC title