Microsoft Technology Licensing, LLC

Linkedin Corporation

Trevor Walker

Anmol Bhasin

Paul Taylor Ogilvie

Vaibhav Goel

Xiangrui Meng

In various example embodiments, a system and method for career path navigation are presented. A request to identify a set of positions sequentially related to an origin position may be received. The request may be associated with a user of a social network service. Member profiles from among a plurality of member profiles of the social network service may be identified based on the origin position. A plurality of positions may be extracted from the identified member profiles. The set of positions may be determined from among the extracted plurality of positions based on a sequential relationship between the origin position and respective positions of the extracted plurality of positions. At least a portion of the set of positions may be caused to be presented to the user.

Career path navigation

Automatic machine-learning processes and systems for an online social network are described. During operation of the online social network, a system can automatically collect labeled training events, obtain snapshots of raw entity data associated with subjects from the collected training events, produce training examples by generating features for each training event using the snapshots of entity data and current entity data, and split the training examples into a training set and a test set. Next, the system can use a machine-learning technique to train a set of models and to select the best model based on one or more evaluation metrics using the training set. The system can then evaluate the performance of the best model on the test set. If the performance of the best model satisfies a performance criterion, the system can use the best model to predict responses for the online social network.

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San Francisco, CA, United States of America

Trevor Walker