Using attributes on a social network for decision-making support

• US 9,407,708 B2
• Filed: 12/14/2012
• Issued: 08/02/2016
• Est. Priority Date: 12/10/2012
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: LinkedIn Corporation (Microsoft Corporation)
• Inventors: Pruet, M. Christopher, Allen, Christina, Hosseini, Farid, Alpern, Sarah Jean Culberson
• Primary Examiner(s): KEATON, SHERROD L
• Application Number:
  US13/716,003
• Publication Number:
  US 20140164512A1
• Time in Patent Office: 1,327 Days
• Field of Search: 715/753
• US Class Current: 1/1
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A first member of a social network service provides a set of desired attributes and a designation of the type of a candidate having the desired attributes that is desired as a recommendation. The attributes of the profiles of other members of the social networks are searched for entities having the set of desired attributes. At least one of the entities having the desired attributes that result from the search is presented to the first member as the recommendation of a candidate. The first member may provide a second set of desired attributes and a designation of the type of at least one second candidate having the second set of desired attributes. The attributes of the profiles of the other members of the social network may be searched for second entities having the second set of desired attributes. The first member is presented with at least one of the second entities as the recommendation of a second candidate.

Claims

1. A method comprising:

receiving, by a computer processor, from a first member of a social network service who is a first person seeking to hire a candidate, a first set of attributes of a candidate desired as a recommendation for employment;

searching attributes of the profiles of other members of the social network service for entities having at least some of the first set of attributes;

presenting to the first member the identity of a plurality of the entities as a recommendation for employment;

receiving from the first member of the social network service, a second set of attributes, the second set of attributes comprising attributes of a second member of the social network service who is a second person seeking to hire a candidate having at least some of the first set of attributes, the second member qualifying as a member of a peer group for collaboration by discourse on making a decision with respect to the recommendation for employment;

searching attributes of the profiles of other members of the social network service for second members having at least some of the second set of attributes; and

presenting to the first member the identity of at least one of the second members as a recommendation for a member of the peer group, wherein the first member is seeking to hire one of the plurality of entities and the discourse is about a decision to hire one of the plurality of entities.

2. The method of claim 1 wherein the first member presents an additional set of attributes and the searching results in presenting to the first member a refined set of entities of for the recommendation for employment.

3. The method of claim 1 further comprising ranking the entities having the first set of attributes and presenting the ranked entities as recommended candidates.

4. The method of claim 1 wherein the recommendation for employment comprises a plurality of entities having different and equivalent attributes.

5. The method of claim 1 wherein the first set of attributes comprises a field of study and a school of graduation.

6. The method of claim 1 wherein the first set of attributes comprises a field of study and a geographical location and a name of a company.

7. The method of claim 1 wherein the first set of attributes comprises a job type and a name of a company and a geographical location.

8. The method of claim 1 wherein the first set of attributes comprises a field of study and a job type and a name of a company.

9. A non-transitory machine-readable medium having embedded therein a set of instructions which, when executed by a machine, causes execution of operations comprising:

receiving, by a computer processor, from a first member of a social network service who is a first person seeking to hire a candidate, a first set of attributes of a candidate desired as a recommendation for employment;

searching attributes of the profiles of other members of the social network service for entities having at least some of the first set of attributes;

presenting to the first member the identity of a plurality of the entities as a recommendation for employment;

receiving from the first member of the social network service, a second set of attributes, the second set of attributes comprising attributes of a second member of the social network service who is a second person seeking to hire a candidate having the first set of attributes, the second member qualifying as a member of a peer group for collaboration by discourse on making a decision with respect to the recommendation for employment;

searching attributes of the profiles of other members of the social network service for second members having at least some of the second set of attributes; and

presenting to the first member the identity of at least one of the second members as a recommendation for a member of the peer group, wherein the first member is seeking to hire one of the plurality entities and the discourse is about a decision to hire one of the plurality of entities.

10. The non-transitory machine-readable medium of claim 9 wherein the first set of attributes comprises a single attribute and the searching results in presenting to the first member the plurality of the entities as the recommendation for employment.

11. The non-transitory machine-readable medium of claim 9 wherein the first member presents an additional set of attributes and the searching results in presenting to the first member a group of the entities as a refinement of the recommendation for employment.

12. The non-transitory machine-readable medium of claim 9 further comprising ranking the plurality of the entities having the first set of attributes and presenting at least one of the ranked plurality of the entities as the recommendation for employment.

13. The non-transitory machine-readable medium of claim 9 wherein the recommendation for employment comprises a plurality of entities having different and equivalent attributes.

14. The non-transitory machine-readable medium of claim 9 wherein the first set of attributes comprises a field of study and a school of graduation.

15. The non-transitory machine-readable medium of claim 9 wherein the first set of attributes comprises a field of study and a geographical location and a name of a company.

16. The non-transitory machine-readable medium of claim 9 wherein the first set of attributes comprises a job type and a name of a company and a geographical location.

17. The non-transitory machine-readable medium of claim 9 wherein the first set of attributes comprises a field of study and a job type and a name of a company.

18. A system comprising:

a server having at least one processor configured to

receive from a first member of a social network service who is a first person seeking to hire a candidate, a first set of attributes of a candidate desired as a recommendation for employment;

search attributes of the profiles of other members of the social network service for entities having the first set of attributes;

present to the first member the identity of one of the plurality of entities as a recommendation for employment;

receive from the first member of the social network service, a second set of attributes, the second set of desired attributes comprising attributes of second members of the social network service who are persons seeking to hire a candidate having the first set of attributes, the second member qualifying as member of a peer group for collaboration by discourse on making a decision with respect to the recommendation for employment;

search attributes of the profiles of other members of the social network service for second members having at least some of the second set of attributes; and

present to the first member the identity of at least one of the second members as a recommendation for a member of the peer group, wherein the first member is seeking to hire one of the entities and the discourse is about a decision to hire one of the plurality of entities.