Scoring content based on social interaction

• US 9,948,699 B1
• Filed: 06/26/2015
• Issued: 04/17/2018
• Est. Priority Date: 03/22/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Tauber, Benjamin, Jain, Sachin, Mazniker, Boris, Ben-Yair, Shimrit, Tong, Simon
• Primary Examiner(s): Weng, Peiyong
• Application Number:
  US14/751,987
• Time in Patent Office: 1,026 Days
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for identifying a set of items of digital content displayed to a user; processing the set of items to identify a set of boost items, items within the set of boost items to be prominently displayed, processing comprising: receiving a close-ties score associated with a respective item, the close-ties score representing a relationship between the user and other users associated with the respective item and an importance of a social circle associated with the item to the user, determining that the close-ties score associated with the respective item exceeds a threshold close-ties score, and in response to determining that the close-ties score exceeds the threshold close-ties score, adding the respective item to the set of boost items; providing instructions for boosting a display of items in the set of boost items in a page displayed to the user.

Claims

1. A computer-implemented method that is executed using one or more processors, the method comprising:

identifying, by a system, a set of items of digital content to be displayed to a user of a computer-implemented social networking service;

determining, by the system, for each item of digital content of the set of items of digital content, i) an interaction score based on a relationship between the user and other users associated with the item of digital content, and ii) an author-to-user following score based on a percentage of contacts of an author user that distributed the item of digital content through the computer-implemented social networking service that are also contacts of the user within the computer-implemented social networking service;

determining, by the system, for each item of digital content of the set of items of digital content, a user-specific score for the item of digital content based on the interaction score and the author-to-user following score;

identifying a subset of items of digital content of the set of items of digital content based on the user-specific score for each item of digital content of the set of items of digital content; and

providing instructions for boosting to a greater prominence a display of one or more items in the subset of items of digital content in a stream displayed to the user.

2. The method of claim 1, further comprising determining, for each item of digital content of the set of items of digital content, a similarity score between a name of a social circle associated with the item of digital content and a pre-defined name, wherein the user-specific score for the item of digital content is further based on the similarity score.

3. The method of claim 1, wherein determining, for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on whether the user is mentioned within the item of digital content.

4. The method of claim 1, wherein determining, for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on a distribution frequency of items of digital content by the author user within the social networking service.

5. The method of claim 1, further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content is unread by the user; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content is unread by the user.

6. The method of claim 1, further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content was distributed through the social networking service within a threshold time period based on a timestamp associated with the item of digital content; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content was distributed through the social networking service within the threshold time period.

7. A hardware system comprising:

a computing device; and

a computer-readable medium coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising;

identifying a set of items of digital content to be displayed to a user of a computer-implemented social networking service;

determining for each item of digital content of the set of items of digital content, i) an interaction score based on a relationship between the user and other users associated with the item of digital content, and ii) an author-to-user following score based on a percentage of contacts of an author user that distributed the item of digital content through the computer-implemented social networking service that are also contacts of the user within the computer-implemented social networking service;

determining for each item of digital content of the set of items of digital content, a user-specific score for the item of digital content based on the interaction score and the author-to-user following score;

identifying a subset of items of digital content of the set of items of digital content based on the user-specific score for each item of digital content of the set of items of digital content; and

providing instructions for boosting to a greater prominence a display of one or more items in the subset of items of digital content in a stream displayed to the user.

8. The system of claim 7, further comprising determining,

for each item of digital content of the set of items of digital content, a similarity score between a name of a social circle associated with the item of digital content and a pre-defined name, wherein the user-specific score for the item of digital content is further based on the similarity score.

9. The system of claim 7, wherein, determining for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on whether the user is mentioned within the item of digital content.

10. The system of claim 7, wherein determining, for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on a distribution frequency of items of digital content by the author user within the social networking service.

11. The system of claim 7, the operations further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content is unread by the user; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content is unread by the user.

12. The system of claim 7, the operations further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content was distributed through the social networking service within a threshold time period based on a timestamp associated with the item of digital content; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content was distributed through the social networking service within the threshold time period.

13. Non-transitory computer storage media encoded with one or more computer programs, the one or more computer programs comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising:

identifying, by a system, a set of items of digital content to be displayed to a user of a computer-implemented social networking service;

determining, by the system, for each item of digital content of the set of items of digital content, i) an interaction score based on a relationship between the user and other users associated with the item of digital content, and ii) an author-to-user following score based on a percentage of contacts of an author user that distributed the item of digital content through the computer-implemented social networking service that are also contacts of the user within the computer-implemented social networking service;

determining, by the system, for each item of digital content of the set of items of digital content, a user-specific score for the item of digital content based on the interaction score and the author-to-user following score;

identifying a subset of items of digital content of the set of items of digital content based on the user-specific score for each item of digital content of the set of items of digital content; and

providing instructions for boosting to a greater prominence a display of one or more items in the subset of items of digital content in a stream displayed to the user.

14. The computer storage media of claim 13, further comprising determining, for each item of digital content of the set of items of digital content, a similarity score between a name of a social circle associated with the item of digital content and a pre-defined name, wherein the user-specific score for the item of digital content is further based on the similarity score.

15. The computer storage media of claim 13, wherein determining for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on whether the user is mentioned within the item of digital content.

16. The computer storage media of claim 13, wherein determining, for each item of digital content of the set of items of digital content, the user-specific score for the item of digital content is further based on a distribution frequency of items of digital content by the author user within the social networking service.

17. The computer storage media of claim 13, the operations further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content is unread by the user; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content is unread by the user.

18. The computer storage media of claim 13, the operations further comprising:

determining, for each item of digital content of the set of items of digital content, that the item of digital content was distributed through the social networking service within a threshold time period based on a timestamp associated with the item of digital content; and

adding the item of digital content to the subset of items of digital content further in response to determining that the item of digital content was distributed through the social networking service within the threshold time period.