Prediction of user response to invitations in a social networking system based on keywords in the user's profile

• US 9,727,927 B2
• Filed: 09/12/2016
• Issued: 08/08/2017
• Est. Priority Date: 12/14/2005
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Juan, Yun-Fang, Jin, Kang-Xing
• Primary Examiner(s): Hill, Stanley K
• Assistant Examiner(s): OLUDE AFOLABI, OLATOYOSI
• Application Number:
  US15/263,224
• Publication Number:
  US 20160379316A1
• Time in Patent Office: 330 Days
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A social networking system selects a subset of keywords from a set of master keywords found in user profiles. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.

Claims

1. A computer-implemented method comprising:

extracting a set of keywords from a subject user profile of a subject user of an online system;

determining a first number of occurrences of keywords from the set of keywords in a first group of user profiles of the online system who positively responded to an invitation;

determining a second number of occurrences of keywords from the set of keywords in a second group of user profiles of the online system who negatively responded to the invitation;

determining a score for one or more of the keywords from the set of keywords based on a comparison of the first number of occurrences and the second number of occurrences; and

predicting a response to the invitation by the subject user based on the score for one or more of the keywords.

2. The method of claim 1, wherein the invitation comprises a request to perform an action, the action selected from a group consisting of:

joining a group, exchanging information, responding to a survey, writing a blog entry and verifying a photo tag.

3. The method of claim 1, wherein the set of keywords includes at least one of words associated with to demographic information associated with the subject user, associated with interests declared by the subject user in the subject user profile, or associated with actions performed by the subject user.

4. The method of claim 1, wherein the computed score for the one or more keywords in the set of keywords is based on a function of the first number of occurrences of the keywords and the second number of occurrences of the keywords.

5. The method of claim 4, wherein the function is selected from a group consisting of:

an arithmetic difference, a ratio difference, an information gain, an odds ratio, and a relevancy score.

6. The method of claim 5, wherein the function increases as a difference between the first number of occurrences of a keyword in the group of user profiles corresponding to the group of users who responded positively to the invitation relative to the second number of occurrences of the keyword in the group of user profiles corresponding to the group of users who responded positively to the invitation increases.

7. A computer-implemented method comprising:

obtaining keywords from user profiles of a group of previously responding users of an online system, the previously responding users having previously responded to an invitation;

extracting a set of keywords from a subject user profile of a subject user of an online system;

comparing the set of keywords to the keywords from the user profiles of the group of previously responding users; and

predicting a response to the invitation by the subject user based on the comparison.

8. The method of claim 7, wherein comparing the set of keywords to the keywords from the user profiles of the group of previously responding users comprises:

determining a first number of occurrences, in a first group of user profiles corresponding to a group of other users who responded positively to the invitation, of keywords from the set of keywords;

determining a second number of occurrences, in a second group of user profiles corresponding to a group of other users who responded negatively to the invitation, of keywords from the set of the keywords; and

computing a score for each of the keywords from the set of keywords based on a comparison of the first number of occurrences of the keywords and the second number of occurrences of the keywords.

9. The method of claim 8, wherein predicting how the subject user will respond to the invitation based on the comparison comprises:

predicting how the user will respond to the invitation based on the score for one or more keywords from the set of keywords.

10. The method of claim 7, wherein the invitation comprises a request to perform an action, the action selected from a group consisting of:

joining a group, exchanging information, responding to a survey, writing a blog entry and verifying a photo tag.

11. The method of claim 7, wherein the set of keywords includes at least one of words associated with to demographic information associated with the subject user, associated with interests declared by the subject user in the subject user profile, or associated with actions performed by the subject user.

12. A computer-implemented method comprising:

extracting a set of keywords from a subject user profile of a subject user of an online system;

determining a first occurrence of keywords in the set of keywords in a first group of user profiles who positively responded to an invitation;

determining a second occurrence of keywords in the set of keywords in a second group of user profiles who negatively responded to the invitation;

determining a score for one or more of the keywords in the set of keywords based on a comparison of the first occurrence and the second occurrence; and

predicting a response to the invitation by the subject user based on the score for one or more of the keywords.

13. The method of claim 12, wherein the invitation comprises a request to perform an action, the action selected from a group consisting of:

joining a group, exchanging information, responding to a survey, writing a blog entry and verifying a photo tag.

14. The method of claim 12, wherein the set of keywords includes words associated with to demographic information associated with the subject user.

15. The method of claim 12, wherein the set of keywords includes words associated with interests declared by the subject user in the subject user profile.

16. The method of claim 12, wherein the set of keywords includes words associated with actions performed by the subject user.

17. The method of claim 12, wherein the invitation comprises an advertisement.

18. The method of claim 12, wherein the score for the one or more keywords in the set of keywords is based on a function of the first number of occurrences of the keywords and the second number of occurrences of the keywords.

19. The method of claim 18, wherein the function increases as a difference between the first occurrence of a keyword in the group of user profiles corresponding to the group of users who responded positively to the invitation relative to the second occurrence of the keyword in the group of user profiles corresponding to the group of users who responded positively to the invitation increases.

20. The method of claim 18, wherein the function is selected from a group consisting of:

an arithmetic difference, a ratio difference, an information gain, an odds ratio, and a relevancy score.