发明名称 Model-driven candidate sorting
摘要 Methods and systems for model-driven candidate sorting for evaluating digital interviews are described. In one embodiment, a model-driven candidate-sorting tool selects a data set of digital interview data for sorting. The data set includes candidate for interviewing candidates (also referred to herein as interviewees). The model-driven candidate-sorting tool analyzes the candidate data for the respective interviewing candidate to identify digital interviewing cues and applies the digital interview cues to a prediction model to predict an achievement index for the respective interviewing candidate. This is performed without reviewer input at the model-driven candidate-sorting tool. The list of interview candidates is sorted according the predicted achievement indices and the sorted list is presented to the reviewer in a user interface.
申请公布号 US9009045(B1) 申请公布日期 2015.04.14
申请号 US201414183346 申请日期 2014.02.18
申请人 HireVue, Inc. 发明人 Larsen Loren;Taylor Benjamin
分类号 G10L15/06;G10L15/18 主分类号 G10L15/06
代理机构 Lowenstein Sandler LLP 代理人 Lowenstein Sandler LLP
主权项 1. A method comprising: selecting, by a model-driven candidate-sorting tool executing on a processing device, a data set of digital interview data for model-driven candidate sorting, wherein the data set comprises candidate data recorded for a plurality of interviewing candidates; for the plurality of interviewing candidates, analyzing, by the model-driven candidate-sorting tool, the candidate data for the respective interviewing candidate to identify a plurality of digital interviewing cues; andapplying the digital interviewing cues to a prediction model to predict an achievement index based on the plurality of digital interviewing cues identified for the respective interviewing candidate, wherein the applying the plurality of digital interviewing cues to the prediction model to predict the achievement index is performed without reviewer input at the model-driven candidate-sorting tool; sorting a list of the plurality of interviewing candidates based on the predicted achievement indices from the applying the plurality of digital interviewing cues to the prediction model; and presenting the sorted list of the plurality of interviewing candidates in a user interface to a reviewer.
地址 South Jordan UT US