19008789. RANKING CANDIDATE SEARCH RESULTS BY ACTIVENESS (Microsoft Technology Licensing, LLC)
RANKING CANDIDATE SEARCH RESULTS BY ACTIVENESS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Yongqing Yuan of Mountain View CA US
Baolu Shen of Santa Clara CA US
Kefang Ning of Sunnyvale CA US
RANKING CANDIDATE SEARCH RESULTS BY ACTIVENESS
This abstract first appeared for US patent application 19008789 titled 'RANKING CANDIDATE SEARCH RESULTS BY ACTIVENESS
Original Abstract Submitted
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.
