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    SYSTEMS AND METHODS TO SEARCH RESUMES BASED ON KEYWORDS
    1.
    发明申请
    SYSTEMS AND METHODS TO SEARCH RESUMES BASED ON KEYWORDS 审中-公开

    公开(公告)号：US20170193089A1

    公开(公告)日：2017-07-06

    申请号：US14987654

    申请日：2016-01-04

    Applicant: Facebook, Inc.

    Inventor： Miaoqing Fang

    IPC: G06F17/30 ,  G06Q10/10

    Abstract: Systems, methods, and non-transitory computer readable media are configured to convert resume text in a resume into an array of values representing a frequency of keywords associated with the resume text. An array of values representing a frequency of search terms associated with a search is generated. The array of values representing a frequency of keywords associated with the resume text and the array of values representing a frequency of search terms associated with a search to generate a score for the resume are combined.

    SYSTEMS AND METHODS FOR AUTOMATED CANDIDATE RECOMMENDATIONS
    3.
    发明申请
    SYSTEMS AND METHODS FOR AUTOMATED CANDIDATE RECOMMENDATIONS 审中-公开

    公开(公告)号：US20190205838A1

    公开(公告)日：2019-07-04

    申请号：US15862306

    申请日：2018-01-04

    Applicant: Facebook, Inc.

    Inventor： Miaoqing Fang ,  Matthew Hans Chan

    IPC: G06Q10/10 ,  G06Q10/06 ,  G06F15/18

    CPC classification number: G06Q10/1053 ,  G06N20/00 ,  G06Q10/06395 ,  G06Q10/06398

    Abstract: Systems, methods, and non-transitory computer-readable media can generate a relevance score for each candidate of a plurality of candidates based on a relevance model. The relevance score is indicative of a relevance of the candidate in relation to a talent pipeline. A quality score is generated for each candidate of the plurality of candidates based on a quality model. The quality score is indicative of a likelihood of the candidate to receive a job offer if the candidate is interviewed. A candidate score is generated for each candidate of the plurality of candidates based on the relevance score and the quality score.

    Systems and methods to rank job candidates based on machine learning model
    5.
    发明授权
    Systems and methods to rank job candidates based on machine learning model 有权

    公开(公告)号：US10685291B2

    公开(公告)日：2020-06-16

    申请号：US14987648

    申请日：2016-01-04

    Applicant: Facebook, Inc.

    Inventor： Miaoqing Fang

    IPC: G06N20/00 ,  G06Q10/10 ,  G06F16/2455 ,  G06F16/2457

    Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a training set to train a machine learning model. A feature set for the model is determined. The model is trained based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization. A ranking of users in the evaluation set is provided based on the score determined for each user.

    SYSTEMS AND METHODS TO IDENTIFY RESUMES BASED ON STAGED MACHINE LEARNING MODELS
    6.
    发明申请
    SYSTEMS AND METHODS TO IDENTIFY RESUMES BASED ON STAGED MACHINE LEARNING MODELS 审中-公开

    公开(公告)号：US20180130024A1

    公开(公告)日：2018-05-10

    申请号：US15346162

    申请日：2016-11-08

    Applicant: Facebook, Inc.

    Inventor： Miaoqing Fang ,  Jesse William Czelusta

    IPC: G06Q10/10 ,  G06N99/00

    CPC classification number: G06Q10/1053 ,  G06N20/00

    Abstract: Systems, methods, and non-transitory computer readable media are configured to generate a relevance score for each resume of a plurality of resumes associated with job candidates based on one or more machine learning models in a first stage associated with a job pipeline of an organization, the relevance score indicative of relevance of the resume in relation to the job pipeline. A subset of resumes are selected from the plurality of resumes, the subset of resumes having highest relevance scores. A quality score for each selected resume of the subset of resumes is generated based on a machine learning model in a second stage associated with the job pipeline, the quality score indicative of quality of the selected resume in relation to the job pipeline.

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