FINDING A VIRTUAL TEAM WITHIN A COMPANY FOR A JOB POSTING
Methods, systems, and programs are presented for finding a virtual team in a company based on the skills identified in a job posting, such that the virtual team has similar skills to the job posting skills. One method includes operations for generating member skill metrics for members of a social network, and for detecting a request for information about a company's job posting. Further, the method includes operations for determining job skill metrics associated with the job posting, and for calculating a similarity value between the job posting and employees of the company who are members of the social network, the similarity value being based on a comparison of the job skill metrics with the member skill metrics of each employee. The method further includes identifying a virtual team of employees having similarity values above a predetermined threshold and presenting the virtual team in a user interface.
1 . A method comprising:
generating, by one or more processors, member skill metrics for members of a social network;
detecting a request for presentation of information about a job posting of a company;
determining one or more job skill metrics associated with the job posting;
calculating, by the one or more processors, a similarity value between the job posting and each of one or more employees of the company who are members of the social network, the similarity value being based on a comparison of the one or more job skill metrics with the member skill metrics of each employee of the company;
identifying, by the one or more processors, a virtual team of a plurality of employees having similarity values above a predetermined threshold; and
causing presentation of the virtual team in a user interface.
2 . The method as recited in claim 1 , wherein the member skill metrics comprise a vector formed by aggregating a skill vector for each skill of the member, the skill vector including values calculated by a machine-learning program, wherein similar skills have similar skill vectors.
3 . The method as recited in claim 2 , wherein the one or more job skill metrics comprise a vector formed by aggregating a job skill vector for each desired job skill identified in the job posting.
4 . The method as recited in claim 3 , wherein each similarity value is calculated as a cosine similarity between the member skill vector and the job skill vector.
5 . The method as recited in claim 1 , wherein the member skill metrics comprise a vector formed by aggregating a title vector of the member and a skill vector for each skill of the member, the title vector and the skill vectors having respective values calculated by a machine-learning program, wherein similar skills have similar skill vectors and similar titles have similar title vectors.
6 . The method as recited in claim 5 , wherein the one or more job skill metrics comprise a vector formed by aggregating a title vector of the job posting and a job skill vector for each desired job skill identified in the job posting, the title vector and the job skill vectors having respective values calculated by the machine-learning program.
7 . The method as recited in claim 1 , wherein each similarity value is calculated by a machine-learning program trained with skill data for the members of the social network, the machine-learning program calculating the similarity value that is correlated to a similarity of skills in the job posting and skills of the member.
8 . The method as recited in claim 1 , wherein each member is associated with a member profile containing a plurality of skills and endorsements for each skill.
9 . The method as recited in claim 1 , further comprising:
presenting in the user interface information about a commonality of skills between a member viewing the job posting and members in the virtual team.
10 . The method as recited in claim 1 , wherein three to six members in the virtual team are presented in the user interface.
11 . A system comprising:
a memory comprising instructions; and
one or more computer processors, wherein the instructions, when executed by the one or more computer processors, cause the one or more computer processors to perform operations comprising:
generating member skill metrics for members of a social network;
detecting a request for presentation of information about a job posting of a company;
determining one or more job skill metrics associated with the job posting;
calculating a similarity value between the job posting and each of one or more employees of the company who are members of the social network, the similarity value being based on a comparison of the one or more job skill metrics with the member skill metrics of each employee of the company;
identifying a virtual team of a plurality of employees having similarity values above a predetermined threshold; and
causing presentation of the virtual team in a user interface.
12 . The system as recited in claim 11 , wherein the member skill metrics comprise a vector formed by aggregating a skill vector for each skill of the member, the skill vector including values calculated by a machine-learning program, wherein similar skills have similar skill vectors, wherein the one or more job skill metrics comprise a vector formed by aggregating a job skill vector for each desired job skill identified in the job posting.
13 . The system as recited in claim 12 , wherein each similarity value is calculated as a cosine similarity between the member skill vector and the job skill vector.
14 . The system as recited in claim 11 , wherein the member skill metrics comprise a vector formed by aggregating a title vector of the member and a skill vector for each skill of the member, the title vector and the skill vectors having respective values calculated by a machine-learning program, wherein similar skills have similar skill vectors and similar titles have similar title vectors.
15 . The system as recited in claim 14 , wherein the one or more job skill metrics comprise a vector formed by aggregating a title vector of the job posting and a job skill vector for each desired job skill identified in the job posting, the title vector and the job skill vectors having respective values calculated by the machine-learning program.
16 . A non-transitory machine-readable storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:
generating member skill metrics for members of a social network;
detecting a request for presentation of information about a job posting of a company;
determining one or more job skill metrics associated with the job posting;
calculating a similarity value between the job posting and each of one or more employees of the company who are members of the social network, the similarity value being based on a comparison of the one or more job skill metrics with the member skill metrics of each employee of the company;
identifying a virtual team of a plurality of employees having similarity values above a predetermined threshold; and
causing presentation of the virtual team in a user interface.
17 . The machine-readable storage medium as recited in claim 16 , wherein the member skill metrics comprise a vector formed by aggregating a skill vector for each skill of the member, the skill vector including values calculated by a machine-learning program, wherein similar skills have similar skill vectors, wherein the one or more job skill metrics comprise a vector formed by aggregating a job skill vector for each desired job skill identified in the job posting.
18 . The machine-readable storage medium as recited in claim 17 , wherein each similarity value is calculated as a cosine similarity between the member skill vector and the job skill vector.
19 . The machine-readable storage medium as recited in claim 16 , wherein the member skill metrics comprise a vector formed by aggregating a title vector of the member and a skill vector for each skill of the member, the title vector and the skill vectors having respective values calculated by a machine-learning program, wherein similar skills have similar skill vectors and similar titles have similar title vectors.
20 . The machine-readable storage medium as recited in claim 19 , wherein the one or more job skill metrics comprise a vector formed by aggregating a title vector of the job posting and a job skill vector for each desired job skill identified in the job posting, the title vector and the job skill vectors having respective values calculated by the machine-learning program.