Abstract: A method, a system, and a computer program product for recommending one or more employees from a group of employees for a task are provided. For an employee in the group of employees a processor is used for determining a degree of separation metric with respect to other employees in the group of employees. Further, for the employee the processor is used for determining a personality metric based at least partially on a measure of past collaboration with other employees in the group of employees. The processor is further used for recommending the one or more employees from the group of employees for the task based on the degree of separation metric and the personality metric.

Abstract: A method, system, and computer program product for determining skills of an employee is disclosed. The method includes determining a first likelihood of at least one keyword from a plurality of keywords being relevant to a topic. The plurality of keywords is extractable from one or more publications associated with the employee, the one or more publications being accessible from a plurality of sources. The method further includes determining a second likelihood of the employee being associated with the topic for at least one source from the plurality of sources. A first set of keywords from the plurality of keywords is assigned to the employee based on the first likelihood and the second likelihood. The first set of keywords is indicative of the skills of the employee.