Cognizant Technology Solutions U.S. Corporation

Sentient Technologies (Barbados) Limited

Olivier Francon

Nigel Duffy

Daniel Edward Fink

Philip Michael Long

Diego Guy M Legrand

Described herein is a process which facilitates segmented security between domain-specific data sets being evaluated as part of a candidate evaluation service and third-party evolution services, wherein the data sets are not transmitted to the evolution service which is evolving candidates for evaluation. This enables customers with secure data sets to use candidate evolution services securely by obtaining a population of potentially optimal candidate models to evaluate and then optimizing on those data sets in their own secure fashion.

Systems and methods for providing secure evolution as a service

A method for identifying a desired document is provided to include calculating a Prior probability score for each document of a candidate list including a portion of documents of an embedding space, the Prior probability score indicating a preliminary probability, for each document of the candidate list, that the document is the desired document, and identifying an initial (i=0) collection of N0&#x3e;1 candidate documents from the candidate list in dependence on the calculated Prior probability scores, the initial collection of candidate documents having fewer documents than the candidate list. The method further includes, for each i'th iteration in a plurality of iterations, beginning with a first iteration (i=1) and in response to user selection of an i'th selected document from the (i&#x2212;1)'th collection of candidate documents, identifying an i'th collection of Ni&#x3e;1 candidate documents from the candidate list in dependence on Posterior probability scores.

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San Francisco, CA, United States of America

Olivier Francon