Virtual-reality based interactive audience simulation

    公开(公告)号:US10970898B2

    公开(公告)日:2021-04-06

    申请号:US16156377

    申请日:2018-10-10

    摘要: Methods, systems and computer program products for generating virtual reality (VR)-based interactive audience simulations are provided herein. A computer-implemented method includes determining one or more situational and location characteristics for a given performance by a user, generating a VR-based simulated audience for the given performance based at least in part on the determined situational and location characteristics, presenting the VR-based simulated audience to a user during the given performance utilizing a VR headset, utilizing one or more sensors to measure one or more aspects of the given performance before the VR-based simulated audience, and generating real-time feedback adjusting the VR-based simulated audience presented to the user utilizing the VR headset based at least in part on the measured aspects of the given performance.

    CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS

    公开(公告)号:US20220261766A1

    公开(公告)日:2022-08-18

    申请号:US17729939

    申请日:2022-04-26

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.

    Creating and using triplet representations to assess similarity between job description documents

    公开(公告)号:US11410130B2

    公开(公告)日:2022-08-09

    申请号:US15854837

    申请日:2017-12-27

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.

    CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS

    公开(公告)号:US20190197482A1

    公开(公告)日:2019-06-27

    申请号:US15854837

    申请日:2017-12-27

    IPC分类号: G06Q10/10 G06F7/02 G06F17/27

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.