Abstract: Techniques for providing a user interface configured to provide recommendations of content reviewers using machine learning are disclosed herein. In some embodiments, a computer system receives an indication of a first user associated with a creation of an electronic message, identifies a first set of one or more other users for the first user using a recommendation model, and causes a corresponding indication of each one of the identified first set of one or more other users to be displayed as a recommended recipient of the electronic message within a user interface of a computing device. In some example embodiments, a user selection of the corresponding indication of one of the identified first set of other users is received, and an address field of the electronic message is populated with an electronic address of the selected one of the identified first set of other users based on the user selection.

Abstract: The disclosed embodiments provide a system for performing adaptive interview preparation for candidates. During operation, the system obtains a graph-based representation of potential questions for a candidate during an interview. Next, the system receives an answer by the candidate to a first question included in the graph-based representation. The system then calculates similarities between the answer and a set of sample answers to the first question. Finally, the system selects a second question for presentation to the candidate in the interview based on a highest similarity of the answer to a sample answer in the set of sample answers and an edge between the first and second questions in the graph-based representation. The system further triggers presentation of the selected second question to the candidate.

Abstract: The technical problem of automatically facilitating a career transition that is a career pivot is addressed by providing a career navigator component in an on-line connection network system. The career navigator is configured to determine that a member's intent is to pivot in their career and, in response, identify, rank, and surface member profiles that indicate the same pivot. The operations for recognizing a pivot intent include maintaining hierarchical occupation taxonomy that can be consulted to determine whether the member's activities on the web site relate to the same or different parent occupations. Once the pivot intent has been recognized, the career navigator identifies those member profiles that indicate the same career transition, and presents those profiles to the pivoting member via a custom-generated user interface.