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    APPARATUS AND METHODS FOR SELECTION BASED ON A PREDICTED BUDGET
    72.
    发明公开
    APPARATUS AND METHODS FOR SELECTION BASED ON A PREDICTED BUDGET 审中-公开

    公开(公告)号：US20230252417A1

    公开(公告)日：2023-08-10

    申请号：US17667603

    申请日：2022-02-09

    Applicant: MY JOB MATCHER, INC. D/B/A JOB.COM

    Inventor： Arran Stewart ,  Steve O'Brien

    IPC: G06Q10/10 ,  G06Q10/06

    CPC classification number: G06Q10/1053 ,  G06Q10/06311

    Abstract: An apparatus for selection based on a probabilistic quantitative field, the apparatus comprising at least a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to generate a time series model configured to generate a probabilistic quantitative field of a posting, wherein the generation includes receive a generation request from a user and generate the probabilistic quantitative field of the posting as a function of the generation request and a machine-learning model, determine if a hosting aggregator will host a posting or not as a function of the probabilistic quantitative field and a preconfigured threshold value, and create a prioritization list for a user as a function of the determination if a hosting aggregator will host a posting or not and the probabilistic quantitative field.

    On-Line Job Application Process Utilizing Configurable Rules to Dynamically Modify Job Application Workflow
    77.
    发明公开
    On-Line Job Application Process Utilizing Configurable Rules to Dynamically Modify Job Application Workflow 审中-公开

    公开(公告)号：US20230214779A1

    公开(公告)日：2023-07-06

    申请号：US17348592

    申请日：2021-06-15

    Applicant: Indeed, Inc.

    Inventor： Jet Villegas ,  Leon Liu

    IPC: G06Q10/10 ,  G06N20/00

    CPC classification number: G06Q10/1053 ,  G06N20/00

    Abstract: In at least on embodiment, a job application workflow system and method utilize a dynamic workflow engine to automatically and dynamically modify job application workflow to modify generation and presentation of a job application to a job applicant for a job with a job provider. The system and method respond to data input by the job applicant to dynamically modify a job application workflow in accordance to a set of rules. In at least one embodiment, the rule sets are of multiple types, such as general rules and job application specific rules, configured by multiple entities, such as a job provider and a job application host. This set of rules provided by the job provider and host for automatically generating the job application may be supplemented with conditions or additional rules previously set forth in the system.

    METHOD AND SYSTEM FOR PREDICTION OF PROFICIENCY OF PERSON IN SKILLS FROM RESUME
    78.
    发明公开
    METHOD AND SYSTEM FOR PREDICTION OF PROFICIENCY OF PERSON IN SKILLS FROM RESUME 审中-公开

    公开(公告)号：US20230196296A1

    公开(公告)日：2023-06-22

    申请号：US18049527

    申请日：2022-10-25

    Applicant: Tata Consultancy Services Limited

    Inventor： ANINDITA SINHA BANERJEE ,  SACHIN SHARAD PAWAR ,  GIRISH KESHAV PALSHIKAR

    IPC: G06Q10/10 ,  G06N5/02

    CPC classification number: G06Q10/1053 ,  G06N5/022

    Abstract: This disclosure relates generally to predicting proficiency level of a person from resume. The proficiency levels obtained using state-of-the-art methods tends to overestimate proficiency. Moreover, the estimated proficiency levels do not satisfy several constraints that are considered key by subject matter experts. Embodiments of the present disclosure extract skills and other related information automatically from resume and capture skill related information in terms of a feature vector. A skill estimation function is learned to predict the proficiency level of the skill from the feature vector using any one of two models. A first model is learned using a constraint loss function to combine label information with domain specific constraints and a second model is learned using a clustering based technique. The disclosure predicts skill proficiency using only resume and can be used for predicting proficiency level of skills of employees from their resumes, for suitable job recommendations from job portal.

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