Social networking relevance index

• US 8,930,453 B2
• Filed: 10/27/2011
• Issued: 01/06/2015
• Est. Priority Date: 10/27/2010
• Status: Active Grant

• Current Assignee: MySpace Incorporated (Capital V LLC)
• Original Assignee: MySpace Incorporated (Capital V LLC)
• Inventors: Panyam, Sai, Roby, Fredrick, Mansukhani, Sam
• Primary Examiner(s): Lazaro, David
• Assistant Examiner(s): HENRY, MARIEGEORGES A
• Application Number:
  US13/282,854
• Publication Number:
  US 20120110080A1
• Time in Patent Office: 1,167 Days
• Field of Search: 709/204, 715/768
• US Class Current: 709/204
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method are provided for organizing a listing of activities on a social networking website, including present each user of the plurality of users an organized representation of activities, the representation of activities sorted by how relevant each activity is to the particular user.

Claims

1. A computer-implemented method of organizing a stream of activities on a social networking website, comprising:

retrieving, in a computer, the stream of activities;

determining, in the computer, relevance factors for each activity in the stream of activities;

calculating, in the computer, a relevance index for each activity based on its associated relevance factors;

organizing, in the computer, the stream of activities based on each activity'"'"'s relevance index, wherein the organizing considers stream diversity by not displaying, to a first user, more than a first number of activities from a first friend of the first user unless the stream also displays at least one activity from a second user; and

displaying, in the computer, the organized stream of activities.

2. A method in accordance with claim 1, wherein said relevance factors are selected from one or more of an engagement portfolio value, as a weighted sum of all engagements done by a user on the social network;

a user affinity, as a score of a particular user'"'"'s affinities to certain activity types;

a user friend affinity, as a score of a particular user'"'"'s affinity to a friend'"'"'s activity types;

a recency, as an exponential decay function that decays activity persistence in a stream based on a predefined decay constant;

a friendship, as a score based on how close knit a user is with a friend; and

a communication, as a score based how often a user has interacted with a friend.

3. A method in accordance with claim 2, wherein all said relevance factors are determined.

4. A method in accordance with claim 2, wherein said relevance factors are equally weighted.

5. A method in accordance with claim 2, further comprising normalizing said one or more relevance factors and combining said normalized relevance factors to generate a relevancy index for each activity.

6. A method in accordance with claim 5, further comprising performing a relevance measurement process to convert a subjective opinion of relevance to an objective score to compare two streams for determining which stream is more relevant to a user.

7. A system, comprising:

a social networking website server; and

a plurality of users in communication with the social networking website server;

wherein,

the social networking website server is disposed and configured to present each user of the plurality of users an organized representation of activities, the representation of activities sorted by how relevant each activity is to the particular user, and wherein the social network website server considers stream diversity when presenting the organized representation, wherein the social networking website server considers stream diversity by not displaying, to a first user, more than a first number of activities from a first friend of the first user unless the stream also displays at least one activity from a second user.

8. A system in accordance with claim 7, wherein said system is further disposed and configured to retrieve a listing of activities, determine relevance factors for each activity in the listing of activities, calculate a relevance index for each activity based on its associated relevance factors, organize the listing of activities based on each activity'"'"'s relevance index, and display the organized listing of activities.

9. A system in accordance with claim 8, wherein said relevance factors are selected from one or more of an engagement portfolio value, as a weighted sum of all engagements done by a user on the social network;

a user affinity, as a score of a particular user'"'"'s affinities to certain activity types;

a user friend affinity, as a score of a particular user'"'"'s affinity to a friend'"'"'s activity types;

a recency, as an exponential decay function that decays activity persistence in a stream based on a predefined decay constant;

a friendship, as a score based on how close knit a user is with a friend; and

a communication, as a score based how often a user has interacted with a friend.

10. A system in accordance with claim 9, wherein said system is configured and disposed such that all said relevance factors are determined.

11. A system in accordance with claim 9, wherein said system is configured and disposed such that relevance factors are equally weighted.

12. A system in accordance with claim 9, wherein said system is configured and disposed such that said one or more relevance factors are normalized and combined to generate a relevancy index for each activity.

13. A system in accordance with claim 12, wherein said system is configured and disposed such that a relevance measurement process converts a subjective opinion of relevance to an objective score to compare two streams for determining which stream is more relevant to a user.