发明名称 OPTIMIZATION OF TRAIT AND EXPERTISE FOR WORKFORCE SELECTION
摘要 A computer-implemented method for optimizing information workforce selection is provided. The computer-implemented method includes providing a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection. The computer-implemented method further includes determining at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates. The computer-implemented method further includes performing trait compability analysis that provides a compatibility score of potential candidates of the plurality of candidates, for a group. The computer-implemented method further includes performing a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates. The computer-implemented method further includes optimizing at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection.
申请公布号 US2016203433(A1) 申请公布日期 2016.07.14
申请号 US201514594200 申请日期 2015.01.12
申请人 International Business Machines Corporation 发明人 Chen Jilin;Mahmud Jalal U.;Pal Aditya;Shami N. Sadat;Wang Fei
分类号 G06Q10/06 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A computer-implemented method for optimizing information for workforce selection, based on modeling of intrinsic traits and expertise of an individual or a team, the computer-implemented method comprising: providing a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection, the ground-truth data collection includes performance rating assessments of the candidates; determining at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates, based on the ground-truth data collection, for the group or the team workforce selection; performing a trait compability analysis that provides a compatibility score of potential candidates, of the plurality of candidates, for the group, the trait compability analysis utilizes a supervised model that determines compatibility of the potential candidates for the group, based on a co-efficient of the expertise and traits characteristics, as functions of the potential candidates; performing a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates, for performing a task of the workforce by a pair of candidates, based on a prior collaboration history and a collaborative expertise and a plurality of collaborative traits characteristics of the plurality of potential candidates; and optimizing at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection for performing a specific task, based on a result of the trait compability analysis and the collaboration compability analysis.
地址 Armonk NY US