| 摘要 |
Techniques are described herein for deriving, for each member of a social network service, a metric representing the job-seeking propensity of the member. Additionally, techniques for classifying each member with a job-seeking status (e.g., active job-seeker, passive job-seeker, or non-job-seeker) are described. A score-generating algorithm will analyze a variety of input data—including member profile data, social graph data, and activity or behavior data—to derive a job-seeker score, representing the job-seeking propensity of a member. Once derived, the metric is used to customize, personalize or otherwise tailor a user-experience. |
