Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.