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Machine translation
1. (WO2011140261) SYSTEMS AND METHODS FOR ANALYZING CANDIDATES AND POSITIONS UTILIZING A RECOMMENDATION ENGINE
Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

CLAIMS

What is claimed is:

1. A system comprising:

one or more processors;

a system memory operatively coupled to the one or more processors; and

one or more professional talent management modules communicatively coupled to the system memory, wherein the one or more professional talent management modules are adapted to:

register one or more system members arranged in a system network, the one or more system members belonging to one or more external networks and having member profile information;

obtain external network profile information from the one or more external networks;

list one or more positions comprising position information; and

configure a recommendation engine to generate position decisions for the one or more positions, the recommendation engine adapted to:

analyze the external network profile information to generate candidate subjective information; and

refer one or more candidates for the one or more positions by applying the subjective information and the external network profile information to the position information.

2. The system according to claim 1, wherein the one or more external networks are social networks.

3. The system according to claim 2, wherein the external network profile information comprises information from available social network profile fields.

4. The system according to claim 1, wherein the one or more referrals are ranked according to a fitness of the one or more referrals to the one or more positions.

5. The system according to claim 1, wherein subjective information comprises whether a candidate is willing to relocate, level of a current position of a candidate in relation to the one or more positions, and how long a candidate has been in a current position.

6. The system according to claim 1, wherein the recommendation engine is further adapted to:

analyzing the member profile information to obtain member subjective information;

recommend one or more positions to the one or more members by applying the member profile information and the member subjective information to the position information.

7. The system according to claim 1, wherein the member profile information comprises one or more member preferences.

8. The system according to claim 7, wherein the one or more member preferences comprise a geographic location, salary range, and commute distance.

9. The system according to claim 1, wherein the member profile information comprises one or more candidate preferences.

10. The system according to claim 2, wherein the one or more professional talent management modules are further adapted to:

obtain social network credentials from the one or more members; and

access the one or more social networks associated with a member using the credentials supplied by the member;

wherein obtaining external network profile information comprises accessing social network profiles of social network connections connected to the member within the one or more social networks;

wherein analyzing the external network profile information to generate candidate subjective information comprises analyzing the social network profiles of each social network connection to generate inferences based on information contained within the social network profiles, the inferences relating to employment patterns and professional fitness of the social network connection;

wherein subjective information comprises whether a candidate is willing to relocate, level of a current position of a candidate in relation to the one or more positions, and how long a candidate has been in a current position.

11. A method comprising:

registering one or more system members arranged in a system network, the one or more system members belonging to one or more external networks and having member profile information;

obtaining external network profile information from the one or more external networks;

listing one or more positions comprising position information; and

configuring a recommendation engine to generate position decisions for the one or more positions, the recommendation engine adapted to:

analyze the external network profile information to generate candidate subjective information; and

refer one or more candidates for the one or more positions by applying the subjective information and the external network profile information to the position information.

12. The method according to claim 11, wherein the one or more external networks are social networks.

13. The method according to claim 12, wherein the external network profile information comprises information from available social network profile fields.

14. The method according to claim 11, wherein the one or more referrals are ranked according to a fitness of the one or more referrals to the one or more positions.

15. The method according to claim 11, wherein subjective information comprises whether a candidate is willing to relocate, level of a current position of a candidate in relation to the one or more positions, how long a candidate has been in a current position.

16. The method according to claim 11, wherein the recommendation engine is further adapted to:

analyzing the member profile information to obtain member subjective information;

recommend one or more positions to the one or more members by applying the member profile information and the member subjective information to the position information.

17. The method according to claim 11, wherein the member profile information comprises one or more member preferences.

18. The method according to claim 17, wherein the one or more member preferences comprise a geographic location, salary range, and commute distance.

19. The method according to claim 11, wherein the member profile information comprises one or more candidate preferences comprising one or more candidates to be omitted from the one or more referrals.

20. A computer program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising:

computer readable program code configured to register one or more system members arranged in one or more system networks, each of the one or more members belonging to one or more external networks;

computer readable program code configured to register one or more system members arranged in a system network, the one or more system members belonging to one or more external networks and having member profile information;

computer readable program code configured to obtain external network profile information from the one or more external networks;

computer readable program code configured to list one or more positions comprising position information; and

computer readable program code configured to configure a recommendation engine to generate position decisions for the one or more positions, the recommendation engine adapted to:

analyze the external network profile information to generate candidate subjective information; and

refer one or more candidates for the one or more positions by applying the subjective information and the external network profile information to the position information.