Abstract: The disclosed embodiments provide a system for processing data. During operation, the system determines features related to an application for an opportunity by a member of an online network, wherein the features include a historical response rate for a poster of the opportunity and a submission number of the application for the opportunity. Next, the system applies a machine learning model to the features to produce a score representing a likelihood of the member receiving a response to the application from the poster. The system then compares the score to a threshold to determine a recommendation related to applying to the opportunity by the member. Finally, the system outputs the recommendation to improve an experience of applying to the opportunity.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system determines features related to an application for an opportunity by a member of an online network, wherein the features include a historical response rate for a poster of the opportunity and a submission number of the application for the opportunity. Next, the system applies a machine learning model to the features to produce a score representing a likelihood of the member receiving a response to the application from the poster. The system then compares the score to a threshold to determine a recommendation related to applying to the opportunity by the member. Finally, the system outputs the recommendation to improve an experience of applying to the opportunity.

Abstract: Techniques for reducing electronic resource consumption using a quality model are disclosed herein. In some embodiments, a data quality system receives a request from a first device of a first user of a social network service, identifies digital content based on the request, and accesses user data of the first user, with the user data of the first user comprising at least one of profile data of the first user and activity data of the first user. In some embodiments, the data quality system determines that the accessed user data of the first user does not satisfy a quality model, with the quality model requiring that at least two criteria of a plurality of criteria be satisfied by the accessed user data, and performs a restriction operation based on the determining that the accessed user data of the first user does not satisfy the quality model.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains an engagement metric correlated with successful usage of a product by a set of customers. Next, the system identifies a threshold for the engagement metric that represents a change in customer growth for the product. The system then uses the threshold and a value of the engagement metric for a customer to characterize a revenue quality of a customer with the product. Finally, the system outputs the revenue quality and the value of the engagement metric for use in managing interaction with the customer.