Customized data feeds for online social networks

Patent metadata

Field	Value
Publication number	US-2018293306-A1
Application number	US-201715484371-A
Country	US
Kind code	A1
Filing date	Apr 11, 2017
Priority date	Apr 11, 2017
Publication date	Oct 11, 2018
Grant date	—

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.

First claim

What is claimed is:

1 . A method comprising:
identifying, by a server computer system, a trending topic on an online social network; 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 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 a computing device associated with a user of the online social network and in communication with the server computer system over the Internet.

2 . The method of claim 1 , wherein identifying the trending topic includes 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 generating and displaying a caption summarizing the trending topic.

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

7 . The method of claim 5 , wherein the caption comprises a selectable link.

8 . The method of claim 7 , 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.

9 . 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 comprising
identifying a trending topic on an online social network;
determining a set of metrics for the identified trending topic, wherein determining the set of metrics includes:
determining a keyword associated with the 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 a computing device associated with a user of the online social network and in communication with the system over the Internet.

10 . The system of claim 9 , wherein identifying the trending topic includes 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.

11 . The system of claim 9 , 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.

12 . The system of claim 9 , wherein determining the set of metrics for he 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.

13 . The system of claim 9 , wherein displaying the set of metrics includes generating and displaying a caption summarizing the trending topic.

14 . The system of claim 13 , wherein displaying the set of metrics includes displaying the volume of mentions over the predetermined timer period in conjunction with the caption.

15 . The system of claim 13 , herein the caption comprises a selectable link.

16 . The system of claim 15 , 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.

17 . 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 comprising:
identifying a trending topic on an online social network; determining a set of metrics for the identified trending topic, wherein determining the set of metrics includes:
determining a keyword associated with the 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 a computing device associated with a user of the online social network and in communication with the server computer system over the Internet.

18 . The non-transitory computer-readable medium of claim 17 , wherein identifying the trending topic includes 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.

19 . The non-transitory computer-readable medium of claim 17 , 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.

20 . The non-transitory computer-readable medium of claim 17 , 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.

Assignees

• Linkedin Corp

Inventors

• Park Sang Hyun
• Yan Sui
• Zhang Yongzheng
• Park Ho Joon
• Zhang Weidong
• Kuan Chi-Yi
• Zheng Yi

Classifications

• H04L67/04

  specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability · CPC title

• G06F16/24575

  using context · CPC title

• H04L67/02

  based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

• H04L67/306

  User profiles · CPC title

• G06F16/35 Primary

  Clustering; Classification · CPC title