Customized data feeds for online social networks

• US 10,678,829 B2
• Filed: 04/11/2017
• Issued: 06/09/2020
• Est. Priority Date: 04/11/2017
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Park, Sang Hyun, Yan, Sui, Zhang, Yongzheng, Park, Ho Joon, Zhang, Weidong, Kuan, Chi-Yi, Zheng, Yi
• Primary Examiner(s): Moser, Bruce M
• Application Number:
  US15/484,371
• Publication Number:
  US 20180293306A1
• Time in Patent Office: 1,155 Days
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers

Abstract

Among other things, embodiments of the present disclosure discussed herein help identify trending topics and generate customized data feeds that present trending topics to a user based on information in the user'"'"'s social network profile. In some embodiments, users may select topics of interest to the user and the system can identity and present trending articles in the selected topic to the user via the user'"'"'s newsfeed.

Claims

1. A method for generating customized data feeds comprising:

accessing, by a server computer system, profile information of a user stored in a database of an online social network;

identifying, by the server computer system, a trending topic on the online social network based on the accessed profile information of the user;

causing, by the server computer system, a graphical user interface element to be displayed on a computing device associated with a user of an online social network, the graphical user interface element being configured to enable the user to select to subscribe to the identified trending topic;

determining, by the server computer system, a set of metrics for the identified trending topic, wherein determining the set of metrics includes;

determining a keyword associated with the trending topic; and

determining a volume of mentions of the keyword on the online social network over a predetermined time period;

storing, by the server computer system, the set of metrics for the trending topic in a database in communication with the server computer system; and

causing, by the server computer system, the set of metrics to display on a display screen coupled to the computing device associated with the user of the online social network and in communication with the server computer system over the Internet, the displaying the set of metrics includes generating and displaying a caption summarizing the trending topic, the set of metrics being displayed in association with the caption summarizing the trending topic based on a selection by the user to subscribe to the trending topic via the graphical user interface element, the set of metrics and the caption summarizing the trending topic being displayed concurrently with other trending topics to which the user has subscribed and corresponding captions summarizing the other trending topics on a customized feed page for the user.

2. The method of claim 1, wherein the identifying the trending topic is based on one or more of:

a total number of selections of an article associated with the trending topic and posted on the online social network, a number of selections of the article over a predetermined period of time, and a keyword included in the article.

3. The method of claim 1, wherein determining the set of metrics for the identified trending topic includes comparing a volume of mentions of the keyword on the online social network during a first period of time and a volume of mentions of the keyword on the online social network during a second period of time.

4. The method of claim 1, wherein determining the set of metrics for the identified trending topic includes determining one or more of:

a positive sentiment associated with a mention of the keyword, a negative sentiment associated with a mention of the keyword, and a neutral sentiment associated with a mention of the keyword.

5. The method of claim 1, wherein displaying the set of metrics includes displaying the volume of mentions over the predetermined time period in conjunction with the caption.

6. The method of claim 1, wherein the caption comprises a selectable link.

7. The method of claim 6, further comprising:

receiving a selection of the selectable link from the computing device associated with the user; and

in response to the selection, displaying, by the server computer system, details associated with the topic on the display screen of the computing device associated with the user.

8. A system comprising:

a processor; and

memory coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform operations for generating customized data feeds, the operations comprising;

accessing profile information of a user stored in a database of an online social network;

identifying a trending topic on the online social network based on the accessed profile information of the user;

causing a graphical user interface element to be displayed on a computing device associated with a user of an online social network, the graphical user interface element being configured to enable the user to select to subscribe to the identified trending topic;

determining a set of metrics for the identified trending topic, wherein determining the set of metrics includes;

determining a keyword associated with the trending topic; and

determining a volume of mentions of the keyword on the online social network over a predetermined time period;

storing the set of metrics for the trending topic in a database in communication with the system; and

causing the set of metrics to display on a display screen coupled to the computing device associated with the user of the online social network and in communication with the system over the Internet, the displaying the set of metrics includes generating and displaying a caption summarizing the trending topic, the set of metrics being displayed in association with the caption summarizing the trending topic based on a selection by the user to subscribe to the trending topic via the graphical user interface element, the set of metrics and the caption summarizing the trending topic being displayed concurrently with other trending topics to which the user has subscribed and corresponding captions summarizing the other trending topics on a customized feed page for the user.

9. The system of claim 8, wherein the identifying the trending topic is based on one or more of:

a total number of selections of an article associated with the trending topic and posted on the online social network, a number of selections of the article over a predetermined period of time, and a keyword included in the article.

10. The system of claim 8, wherein determining the set of metrics for the identified trending topic includes comparing a volume of mentions of the keyword on the online social network during a first period of time and a volume of mentions of the keyword on the online social network during a second period of time.

11. The system of claim 8, wherein determining the set of metrics for the identified trending topic includes determining one or more of:

a positive sentiment associated with a mention of the keyword, a negative sentiment associated with a mention of the keyword, and a neutral sentiment associated with a mention of the keyword.

12. The system of claim 8, wherein displaying the set of metrics includes displaying the volume of mentions over the predetermined time period in conjunction with the caption.

13. The system of claim 8, wherein the caption comprises a selectable link.

14. The system of claim 13, wherein the memory further stores instructions for causing the system to perform operations comprising:

receiving a selection of the selectable link from the computing device associated with the user; and

in response to the selection, displaying, by the server computer system, details associated with the topic on the display screen of the computing device associated with the user.

15. A tangible, non-transitory computer-readable medium storing instructions that, when executed by a server computer system, cause the server computer system to perform operations for generating customized data feeds, the operations comprising:

accessing profile information of a user stored in a database of an online social network;

identifying a trending topic on the online social network based on the accessed profile information of the user;

causing a graphical user interface element to be displayed on a computing device associated with a user of an online social network, the graphical user interface element being configured to enable the user to select to subscribe to the identified trending topic;

determining a set of metrics for the identified trending topic, wherein determining the set of metrics includes;

determining a keyword associated with the trending topic; and

determining a volume of mentions of the keyword on the online social network over a predetermined time period;

storing the set of metrics for the trending topic in a database in communication with the server computer system; and

causing the set of metrics to display on a display screen coupled to the computing device associated with the user of the online social network and in communication with the server computer system over the Internet, the displaying the set of metrics includes generating and displaying a caption summarizing the trending topic, the set of metrics being displayed in association with the caption summarizing the trending topic based on a selection by the user to subscribe to the trending topic via the graphical user interface element, the set of metrics and the caption summarizing the trending topic being displayed concurrently with other trending topics to which the user has subscribed and corresponding captions summarizing the other trending topics on a customized feed page for the user.

16. The non-transitory computer-readable medium of claim 15, wherein the identifying the trending topic is based on one or more of:

a total number of selections of an article associated with the trending topic and posted on the online social network, a number of selections of the article over a predetermined period of time, and a keyword included in the article.

17. The non-transitory computer-readable medium of claim 15, wherein determining the set of metrics for the identified trending topic includes comparing a volume of mentions of the keyword on the online social network during a first period of time and a volume of mentions of the keyword on the online social network during a second period of time.

18. The non-transitory computer-readable medium of claim 15, wherein determining the set of metrics for the identified trending topic includes determining one or more of:

a positive sentiment associated with a mention of the keyword, a negative sentiment associated with a mention of the keyword, and a neutral sentiment associated with a mention of the keyword.