Microsoft Corporation
DETECTING ANOMALOUS CANDIDATE RECOMMENDATIONS

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system estimates parameters of a first distribution of one or more attributes in a first set of candidates selected as recommendations for a recruiting entity in an online system. Next, the system determines a first probability that a candidate belongs to the first distribution based on the estimated parameters and values of the one or more attributes for the candidate. The system then applies a first threshold to the first probability to determine a first classification of the candidate as anomalous or non-anomalous with respect to the first set of candidates. Finally, the system updates a user interface of the online system that outputs the recommendations to the recruiting entity based on the first classification.