Assigning classes to users of an online community

• US 9,798,815 B1
• Filed: 02/04/2015
• Issued: 10/24/2017
• Est. Priority Date: 09/21/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Buyukkokten, Orkut
• Primary Examiner(s): Chbouki, Tarek
• Application Number:
  US14/614,320
• Time in Patent Office: 993 Days
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

This technology is directed to determining a character or personality characteristic for users of an online community, for example, a social network, and assigning a character or personality class to the users. In some instances, the systems and methods may determine the character or personality characteristic either implicitly from user data or actions, etc., or explicitly, by providing users with a personality survey or questionnaire to solicit responses. The system and methods assign a suitable character or personality class to the users based on the character and personality characteristic determined for the users, and generate at least one of a class description, a career profile, and a relationship profile for the users, and provide data including the class description, career profile, and the relationship profile capable of being displayed on a user interface.

Claims

1. A method, comprising:

retrieving, with one or more processors, a first profile associated with a first user and a second profile associated with a second user of an online community;

retrieving, with the one or more processors, a list of predetermined classes defined for the online community, the list of predetermined classes including a first class associated with a first set of skills and a second class associated with a second set of skills;

determining, with the one or more processors, a first skill associated with the first user and a second skill associated with the second user;

assigning, with the one or more processors, the first profile of the first user to the first class based on the first set of skills associated with the first class including the first skill of the first user and assigning the second profile of the second user to the second class based on the second set of skills including the second skill of the second user;

determining, with the one or more processors, a similarity between the first profile and the second profile;

determining, with the one or more processors, a compatibility between the first class and the second class;

generating, with the one or more processors, a compatibility analysis between the first user and the second user of the online community based on the similarity between the first profile and the second profile and the compatibility between the first class and the second class;

determining, with the one or more processors, a compatibility score between the first user and the second user based on the compatibility analysis;

and providing, with the one or more processors, a recommendation to the first user and the second user based on the compatibility score.

2. The method of claim 1, wherein the online community includes a social network.

3. The method of claim 1, wherein determining the similarity between the first profile and the second profile includes determining a similarity between user information associated with the first profile and the second profile, the method comprises:

generating a report reflecting compatibility between the first user and the second user of the online community based on the compatibility analysis; and

providing the report for display to the first user and the second user of the online community.

4. The method of claim 3, wherein the user information includes at least one of name, birthdate, occupation, employer, education, gender, email, phone number, street address, posts, photos, videos associated with the users on the online community.

5. The method of claim 1, wherein the compatibility score includes an indication of a compatible partnership between the first profile and the second profile of the online community.

6. The method of claim 1, wherein providing the recommendation is based on the first profile and the second profile of the online community and the compatibility score.

7. The method of claim 1, wherein the compatibility analysis is based on an attribute, the attribute including at least one of a network of friends, a location, and actions associated with the first user and the second user of the online community.

8. A computer program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

retrieve a first profile associated with a first user and a second profile associated with a second user of an online community;

retrieve a list of predetermined classes defined for the online community, the list of predetermined classes including a first class associated with a first set of skills and a second class associated with a second set of skills;

determine a first skill associated with the first user and a second skill associated with the second user;

assign the first profile of the first user to the first class based on the first set of skills associated with the first class including the first skill of the first user and assigning the second profile of the second user to the second class based on the second set of skills including the second skill of the second user;

determine a similarity between the first profile and the second profile;

determine a compatibility between the first class and the second class;

generate a compatibility analysis between the first user and the second user of the online community based on the similarity between the first profile and the second profile and the compatibility between the first class and the second class;

determine a compatibility score between the first user and the second user based on the compatibility analysis;

and provide a recommendation to the first user and the second user based on the compatibility score.

9. The computer program product of claim 8, wherein the online community includes a social network.

10. The computer program product of claim 8, wherein determining the similarity between the first profile and the second profile includes determining a similarity between user information associated with the first profile and the second profile, and the computer readable program when executed on a computer also causes the computer to:

generate a report reflecting compatibility between the first user and the second user of the online community based on the compatibility analysis; and

provide the report for display to the first user and the second user of the online community.

11. The computer program product of claim 10, wherein the user information includes at least one of name, birthdate, occupation, employer, education, gender, email, phone number, street address, posts, photos, videos associated with the users on the online community.

12. The computer program product of claim 8, wherein the compatibility score includes an indication of a compatible partnership between the first profile and the second profile of the online community.

13. The computer program product of claim 8, wherein providing the recommendation is based on the first profile and the second profile of the online community and the compatibility score.

14. The computer program product of claim 8, wherein the compatibility analysis is based on an attribute, the attribute including at least one of a network of friends, a location, and actions associated with the first user and the second user of the online community.

15. A system comprising:

a processor; and

a memory storing instructions that, when executed, cause the system to;

retrieve a first profile associated with a first user and a second profile associated with a second user of an online community;

retrieve a list of predetermined classes defined for the online community, the list of predetermined classes including a first class associated with a first set of skills and a second class associated with a second set of skills;

determine a first skill associated with the first user and a second skill associated with the second user;

assign the first profile of the first user to the first class based on the first set of skills associated with the first class including the first skill of the first user and assigning the second profile of the second user to the second class based on the second set of skills including the second skill of the second user;

determine a similarity between the first profile and the second profile;

determine a compatibility between the first class and the second class;

generate a compatibility analysis between the first user and the second user of the online community based on the similarity between the first profile and the second profile and the compatibility between the first class and the second class;

determine a compatibility score between the first user and the second user based on the compatibility analysis;

and provide a recommendation to the first user and the second user based on the compatibility score.

16. The system of claim 15, wherein the online community includes a social network.

17. The system of claim 15, wherein determining the similarity between the first profile and the second profile includes determining a similarity between user information associated with the first profile and the second profile, the system comprises:

generate a report reflecting compatibility between the first user and the second user of the online community based on the compatibility analysis; and

provide the report for display to the first user and the second user of the online community.