FINDING VIRTUAL TEAMS WITH MEMBERS THAT MATCH A USER'S PROFESSIONAL SKILLS
Methods, systems, and computer programs are presented for finding a virtual team in a company based on the skills of a member in the social network, such that the virtual team members have similar skills to the member. One method includes an operation for generating skill metrics for members of a social network. A request by a first member is detected for presentation of information about a company, and a similarity value between the first member and employees of the company that are members of the social network is calculated. The similarity value is based on a comparison of the skill metrics of the first member with the skill metrics of each employee. A virtual team of a plurality of employees having the similarity value above a predetermined threshold is identified, and the virtual team is presented in a user interface of the first member.
1 . A method comprising:
generating, by one or more processors, skill metrics for members of a social network;
detecting a request by a first member for presentation of information about a company;
calculating, by the one or more processors, a similarity value between the first member and employees of the company that are members of the social network, the similarity value being based on a comparison of the skill metrics of the first member with the skill metrics of each employee;
identifying, by the one or more processors, a virtual team of a plurality of employees having the similarity value above a predetermined threshold; and
causing presentation of the virtual team in a user interface of the first member.
2 . The method as recited in claim 1 , wherein the 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 similarity value is calculated as a cosine similarity between two skill vectors.
4 . The method as recited in claim 1 , wherein the 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 vector having respective values calculated by a machine-learning program, wherein similar skills have similar skill vectors and similar titles have similar title vectors.
5 . The method as recited in claim 1 , wherein the 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 for a pair of members such that the similarity value is correlated to a similarity of skills between the pair of members.
6 . The method as recited in claim 1 , wherein the request is for information about the company, wherein the virtual team is presented with the information about the company.
7 . The method as recited in claim 1 , wherein the request is for information about a job in the company, wherein the virtual team is presented with the information about the job in the company.
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 the first member 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 skill metrics for members of a social network;
detecting a request by a first member for presentation of information about a company;
calculating a similarity value between the first member and employees of the company that are members of the social network, the similarity value being based on a comparison of the skill metrics of the first member with the skill metrics of each employee;
identifying a virtual team of a plurality of employees having the similarity value above a predetermined threshold; and
causing presentation of the virtual team in a user interface of the first member.
12 . The system as recited in claim 11 , wherein the 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.
13 . The system as recited in claim 12 , wherein the similarity value is calculated as a cosine similarity between two skill vectors.
14 . The system as recited in claim 11 , wherein the 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 vector 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 11 , wherein the 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 for a pair of members such that the similarity value is correlated to a similarity of skills between the pair of members.
16 . A non-transitory machine-readable storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:
generating skill metrics for members of a social network;
detecting a request by a first member for presentation of information about a company;
calculating a similarity value between the first member and employees of the company that are members of the social network, the similarity value being based on a comparison of the skill metrics of the first member with the skill metrics of each employee;
identifying a virtual team of a plurality of employees having the similarity value above a predetermined threshold; and
causing presentation of the virtual team in a user interface of the first member.
17 . The machine-readable storage medium as recited in claim 16 , wherein the 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.
18 . The machine-readable storage medium as recited in claim 16 , wherein the 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 vector having respective values calculated by a machine-learning program, wherein similar skills have similar skill vectors and similar titles have similar title vectors.
19 . The machine-readable storage medium as recited in claim 16 , wherein the 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 for a pair of members such that the similarity value is correlated to a similarity of skills between the pair of members.
20 . The machine-readable storage medium as recited in claim 16 , wherein the request is for information about a job in the company, wherein the virtual team is presented with the information about the job in the company.