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    METHODS AND SYSTEMS FOR SURFACING EMPLOYMENT OPPORTUNITY LISTINGS TO A USER
    2.
    发明申请
    METHODS AND SYSTEMS FOR SURFACING EMPLOYMENT OPPORTUNITY LISTINGS TO A USER 审中-公开

    公开(公告)号：US20190095869A1

    公开(公告)日：2019-03-28

    申请号：US15718630

    申请日：2017-09-28

    Applicant: Facebook, Inc.

    Inventor： Ying Zhang ,  Wenzhe Jiang ,  Lei Sun ,  Zain Rehmani ,  Cheng Yang ,  Gaurav Dosi

    IPC: G06Q10/10 ,  G06Q50/00

    Abstract: Exemplary embodiments relate to techniques for identifying job seekers in a platform, such as a social networking or messaging service, and presenting the job seekers with job postings that they are most likely to be interested in. The job seeker's intent may be determined based on various factors. The system may rank job postings by the probability that a user will be interested in a particular job, and can surface jobs to the user in a number of ways. Applicable jobs can be surfaced in an interactable list. If the user interacts with the list, then the system may determine that the user is a job seeker and that the posted jobs are in their field of interest; otherwise, one of those elements is considered to be missing and the system may adjust its approach

    METHODS AND SYSTEMS FOR CONVERTING UNSTRUCTURED TEXT INTO STRUCTURED JOB POSTINGS
    3.
    发明申请
    METHODS AND SYSTEMS FOR CONVERTING UNSTRUCTURED TEXT INTO STRUCTURED JOB POSTINGS 审中-公开

    公开(公告)号：US20190095868A1

    公开(公告)日：2019-03-28

    申请号：US15718601

    申请日：2017-09-28

    Applicant: Facebook, Inc.

    Inventor： Ying Zhang ,  Wenzhe Jiang ,  Lei Sun ,  Zain Rehmani ,  Cheng Yang ,  Gaurav Dosi

    IPC: G06Q10/10 ,  G06F17/30 ,  G06Q50/00

    Abstract: Exemplary embodiments relate to techniques for identifying job listing posts in a platform, such as a social networking or messaging service. Job listing posts can be identified as they are created, causing the user to enter a job posting interface for entering structured data. The structured data may be searchable on the platform. Job posts can also be identified post hoc, and subsequently converted to structured job listing posts. Structured information may be drawn from the freeform text, and the system may normalize the job description (e.g., using third-party information, such as standard job descriptors). Identifying a job listing post/intent may be done using a model trained using various parameters, such as: user feedback/administrator actions; corrections; content of the post; existing posts of page owner; the time of year; whether other employers in similar fields are post job openings; and whether this owner prefers to write structured or unstructured posts.

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