Abstract: The disclosed embodiments provide a system for processing data. During operation, the system identifies candidates for opportunities in a domain based on communication between the candidates and moderators of the opportunities. Next, the system determines a set of skills as representative of talent in the domain based on occurrences of the set of skills in attributes of the candidates. The system then identifies additional candidates with experience in the domain based on overlap between additional attributes of the additional candidates and the set of skills. Finally, the system outputs the additional candidates as recommendations to additional moderators of additional opportunities in the domain.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system determines activity features for candidates that match parameters of a search from a moderator of an opportunity, wherein the activity features include an amount of interaction between a candidate and additional moderators and a frequency of visits by the candidate to a platform used to conduct the interaction between the candidate and the additional moderators. Next, the system applies a machine learning model to the activity features to produce activeness scores representing levels of activity of the candidates with respect to the platform. The system then generates a ranking of the candidates according to the activeness scores. Finally, the system outputs at least a portion of the ranking as a set of search results of the search.

Abstract: A method and an apparatus for splitting and recovering data in a power system are provided in the invention. The method includes the steps of setting a first database and a data recovery unit in a platform layer of the power system. The first database runs in a memory of the power system and is composed of the real-time image in the memory of a grid model and static parameters of a second database. The first database is used to provide the inquiry service of the grid model and static parameters for the power system. The data recovery unit is responsible for all of the associated read-write operations with the second database. After data are written into, the data recovery unit stores the data as historical data according to the time scale characters, and writes the historical data to the second database when the second database is normal.