Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains answers by a candidate to assessments related to qualifications for one or more opportunities. Next, the system applies a machine learning model to the answers and additional qualifications for an additional opportunity to produce a match score between the candidate and the additional opportunity. The system then compares the match score to a threshold to determine a recommendation related to applying to the additional opportunity by the candidate. Finally, the system outputs the recommendation in association with the additional opportunity.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains an assessment result containing a rating of a candidate with respect to a qualification for an opportunity. Next, the system determines, based on the assessment result, a position of the rating in a distribution of assessment results associated with the qualification and one or more attributes of the opportunity. The system then compares the position to a threshold to determine a recommendation related to the candidate and the opportunity. Finally, the system outputs the recommendation in association with the candidate.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a first assessment result related to a first qualification of a candidate. Next, the system filters a set of opportunities based on a first comparison of the first assessment result with qualifications for the opportunities to produce a first subset of opportunities. The system then selects a second qualification associated with some or all of the first subset of opportunities to assess for the candidate. The system also filters the first subset of opportunities based on a second comparison of a second assessment result related to the second qualification of the candidate with additional qualifications for the first subset of opportunities to produce a second subset of opportunities. Finally, the system outputs recommendations related to applying to the second subset of opportunities by the candidate.

Abstract: Techniques for automatically deploying assessments over a computer network are provided. In one technique, an assessment is stored for applicants of an opportunity. First input that indicates that a first user applied for the opportunity is received. In response to receiving the first input, it is automatically determined to transmit a first assessment invitation to the first user. Second input that indicates that a second user applied for the opportunity is received. In response to receiving the second input, it is automatically determined to not transmit a second assessment invitation to the second user. Factors that may be considered in determining whether to transmit an assessment invitation include attributes (such as a review history) of the entity that created the opportunity or posting thereof, attributes (such as an assessment taking history) of the user that applied for the opportunity, and a current workload of the entity and of the user.

Abstract: Technologies for suggesting changes to job posting data to increase performance of a job posting for a job opportunity are provided. The disclosed techniques include a system receiving poster data that includes a plurality of attributes for the job posting. The job posting is creating based on the poster data. Once created, the job posting is made available through a content management system to job seekers. While the job posting is available through the content management system, a first performance metric is determined for the job posting. A plurality of similar job postings is identified. A second performance metric is determined based upon the plurality of similar job postings. A comparison is performed between the first and second performance metric. Based on the comparison, a suggested change to the job posting is determined and the system causes the suggested change to be presented to the poster of the job posting.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a first assessment result related to a first qualification of a candidate. Next, the system filters a set of opportunities based on a first comparison of the first assessment result with qualifications for the opportunities to produce a first subset of opportunities. The system then selects a second qualification associated with some or all of the first subset of opportunities to assess for the candidate. The system also filters the first subset of opportunities based on a second comparison of a second assessment result related to the second qualification of the candidate with additional qualifications for the first subset of opportunities to produce a second subset of opportunities. Finally, the system outputs recommendations related to applying to the second subset of opportunities by the candidate.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system applies a machine learning model to attributes of an opportunity to generate a set of confidence scores between the opportunity and a set of screening questions. Next, the system selects a subset of the screening questions with confidence scores that exceed a threshold for use with the opportunity. The system then stores the selected subset of the screening questions in association with the opportunity.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains answers by a candidate to assessments related to qualifications for one or more opportunities. Next, the system applies a machine learning model to the answers and additional qualifications for an additional opportunity to produce a match score between the candidate and the additional opportunity. The system then compares the match score to a threshold to determine a recommendation related to applying to the additional opportunity by the candidate. Finally, the system outputs the recommendation in association with the additional opportunity.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains an assessment result containing a rating of a candidate with respect to a qualification for an opportunity. Next, the system determines, based on the assessment result, a position of the rating in a distribution of assessment results associated with the qualification and one or more attributes of the opportunity. The system then compares the position to a threshold to determine a recommendation related to the candidate and the opportunity. Finally, the system outputs the recommendation in association with the candidate.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains, from multiple platforms, a set of communications between recruiters and applicants. Next, the system automatically identifies a recruiting context from one or more attributes of a first communication in the set of communications, wherein the recruiting context includes an applicant associated with an opportunity. The system also stores an association between the recruiting context and the first communication. The system then aggregates the first communication with additional communications associated with the recruiting context. Finally, the system displays the aggregated communications within a user interface that is separate from a platform used to transmit the first communication.