Abstract: Being considered the shortage of quantitative investigation on talent recruiting, a multi-objective model with quantitative description of knowledge was proposed. First, a knowledge supernetwork was set up, based on which the knowledge needed by an organization was determined and the knowledge held by persons was described in terms of knowledge elements. The similarities between the knowledge needed by the organization and that held by the persons were calculated. A multi-objective model for one-step selection of talents was developed using the similarities as the inputs, being taken into account both the organization's requirement for knowledge and knowledge exchanging among the staff. Also, a multi-objective model for step-by-step selection of talents was given in order to rank the talents. The computation complexity of the two models was analyzed theoretically. An application case was carried out, and the results indicated the effectiveness of the models.