DISPLAYING AGGREGATED NEWS TICKER CONTENT IN A SOCIAL NETWORKING SYSTEM

• US 20140164978A1
• Filed: 12/09/2012
• Published: 06/12/2014
• Est. Priority Date: 12/09/2012
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Deeter, Ken, Cathcart, Robert William
• Application Number:
  US13/709,002
• Publication Number:
  US 20140164978A1
• Time in Patent Office: Days
• US Class Current: 715/774
• CPC Class Codes: G06F 2203/04803 Split screen, i.e. subdividing the display area or the window area into separate subareas
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A social networking system displays stories describing actions to a user in a news ticker. The stories may be selected so that a variety of types of stories, stories associated with a variety of users, or stories associated with a variety of actions are presented via the news ticker. Additionally, stories having a common characteristic, such as being associated with a common user, may be aggregated and a description of the aggregated stories is presented in the news ticker. For example, stories aggregated based on acting user may identify the user common to the stories and a description of the aggregated stories may be displayed. Further, the value to the social networking system of displaying different types of content may be used to modify how different types of content are displayed in the news ticker.

Claims

1. A method comprising:

receiving, at a social networking system, a request from a target user for news ticker content from a target user;

identifying candidate stories, each candidate story associated with an acting user connected to the target user and describing an action performed by the acting user;

selecting a subset of the candidate stories, each candidate story in the subset of candidate stories associated with a common acting user;

generating an aggregated representation of the subset of the candidate stories, the aggregated representation identifying the common acting user and including information describing one or more actions associated with one or more candidate stories in the subset of the candidate stories; and

presenting the aggregated representation of the candidate stories in the news ticker content.

2. The method of claim 1, wherein identifying candidate stories comprises identifying a threshold number of stories associated with actions associated with a time within a threshold time of a current time.

3. The method of claim 1, wherein the information describing the one or more actions associated with the one or more candidate stories in the subset of the candidate stories comprises a description of a number of different action types associated with the one or more candidate stories in the subset of the candidate stories.

4. The method of claim 1, wherein the aggregated representation of the subset of the candidate stories further includes an indication of a number of candidate stories in the subset of the candidate stories.

5. The method of claim 1, wherein the aggregated representation identifies the common acting user by including an image associated with the common acting user.

6. A method comprising:

receiving, at a social networking system, a request for news ticker content from a target user;

identifying candidate stories, each candidate story associated with an acting user connected to the target user and describing an action performed by the acting user;

selecting a user from the acting users associated with the candidate stories;

selecting a subset of the candidate stories associated with the selected user;

generating an aggregated representation of the subset of the candidate stories, the aggregated representation identifying the selected user and including information describing candidate stories in the subset of the candidate stories;

displaying a representation of the subset of candidate stories in the news ticker.

7. The method of claim 6, wherein identifying candidate stories comprises identifying a threshold number of stories associated with actions associated with a time within a threshold time of a current timer.

8. The method of claim 6, wherein selecting the user from the acting users associated with the candidate stories comprises:

generating affinities for the target user and each of the acting users associated with the candidate stories; and

selecting the user based on the generated affinities.

9. The method of claim 8, wherein selecting the user based on the generated affinities comprises;

selecting an acting user associated with a highest affinity.

10. The method of claim 8, wherein selecting the user based on the generated affinities comprises;

selecting an acting user associated an affinity equaling or exceeding a threshold value.

11. The method of claim 6, wherein selecting the user from the acting users associated with the candidate stories comprises:

selecting an acting user associated with an action associated with a most recent time.

12. The method of claim 6, wherein selecting the user from the acting users associated with the candidate stories comprises:

selecting an acting user associated with an action having a time within a threshold time of a current time.

13. The method of claim 6, wherein the aggregated representation of the subset of the candidate stories further includes an indication of a number of candidate stories in the subset of the candidate stories.

14. A method comprising:

receiving, at a social networking system, a request for news ticker content from a target user;

identifying candidate stories, each candidate story associated with a story type and an acting user connected to the target user, and describing an action performed by the acting user;

selecting a story type associated the candidate stories;

selecting a subset of the candidate stories associated with the selected story type;

generating an aggregated representation of the subset of the candidate stories, the aggregated representation identifying the selected story type selected user and including information describing candidate stories in the subset of the candidate stories;

displaying a representation of the subset of candidate stories in the news ticker.

15. The method of claim 14, wherein the aggregated representation of the subset of the candidate stories includes an indication of a number of candidate stories in the subset of the candidate stories.

16. The method of claim 14, wherein the aggregated representation of the subset of the candidate stories identifies one or more acting user associated with candidate stories included in the subset.