Microsoft Technology Licensing, LLC

Arjun K Kulothungun

Sanjay Sachdev

Rohan Ramanath

Jefferson Lai

Srikant Veera Raghavan

Deepak Dileep Kumar

The disclosed embodiments provide a system for processing a query for a ranking of candidates for an opportunity. During operation, the system obtains parameters associated with a query for a ranking of candidates for an opportunity, wherein the parameters include a candidate and the opportunity. Next, the system matches one or more of the parameters to a fixed number of quantile thresholds calculated from a distribution of scores for the candidates. The system then estimates, based on the fixed number of quantile thresholds, a quantile for a score of the candidate. Finally, the system outputs a position of the candidate within the ranking based on the estimated quantile.

Efficient percentile estimation for applicant rankings

The disclosed embodiments provide a system for processing a query for a ranking of candidates for an opportunity. During operation, the system obtains a set of parameters associated with a query for a ranking of candidates for an opportunity, wherein the set of parameters include a candidate, the opportunity, and a ranking category. Next, the system uses the set of parameters to obtain a set of pre-computed scores for use in generating the ranking and determine a number of online scores required to complete the ranking. The system then generates a set of calls to produce the determined number of the online scores. Finally, the system uses the pre-computed scores and the online scores to generate a result of the query.

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San Francisco, CA, United States of America

Arjun K Kulothungun