Scalable response prediction using personalized recommendation models

An apparatus, comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
• obtain a global version of a statistical model and a user-specific version of the statistical model for a user;
• apply the global version to member features of the user and job features of a set of jobs to generate a first ranking of the jobs for the user;
• apply the user-specific version to the member features and the job features for a highest-ranked subset of jobs in the first ranking to generate a second ranking of the jobs for the user;
• and
• output at least a portion of the second ranking as a set of job recommendations.

A system, comprising:

• an analysis module comprising a non-transitory computer-readable medium comprising instructions that, when executed, cause the system to:
• obtain a global version of a statistical model and a user-specific version of the statistical model for a user;
• apply the global version to member features of the user and job features of a set of jobs to generate a first ranking of the jobs for the user;
• and
• apply the user-specific version to the member features and the job features for a highest-ranked subset of jobs in the first ranking to generate a second ranking of the jobs for the user;
• and
• a management module comprising a non-transitory computer-readable medium comprising instructions that, when executed, cause the system to output at least a portion of the second ranking as a set of job recommendations.