Abstract: A method includes receiving, at a broker processor and from a prover processor, a user request, a user token, and a user cryptographic zero-knowledge proof associated with a user characteristic. The method also includes receiving, at the broker processor, from a service processor, and based on the user request, a requirements specification and the user token. The method also includes generating, via the broker processor, a broker cryptographic zero-knowledge proof based on the requirements specification and the user cryptographic zero-knowledge proof. The method also includes transmitting, via the broker processor and to the service processor, the broker cryptographic zero-knowledge proof to cause the service processor to fulfill the user request.

Abstract: An improved system and method for matching candidates to a job using job similarity and candidate similarity is provided. A job model with clustered feature datasets may be generated from a corpus of candidate profiles, may be initialized by boosting clustered features weights, and may be iteratively tuned using feedback about the fit of candidates to the job model. A collation of career streams may be generated from a corpus of candidate profiles with a count of occurrences of each career stream within the corpus of candidate profiles. A job profile may be matched to candidate profiles either by determining candidate match scores between a job model of the job profile using clustered feature datasets or by determining job similarity scores between the job profile and jobs in the candidate profiles using career stream counts, or by determining both candidate match scores and job similarity scores.