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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.
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公开(公告)号：US20190188646A1
公开(公告)日：2019-06-20
申请号：US15842066
申请日：2017-12-14
发明人： Sarthak Ahuja , Ritwik Chaudhuri , Manish Kataria , Manu Kuchhal , Gyana Ranjan Parija , Sudhanshu Shekhar Singh
CPC分类号： G06Q10/1053 , G06Q10/06311 , H04L67/306
摘要： One embodiment provides a method, including: receiving a requisition for a job position, the requisition having a plurality of recruiters, each having influence in selecting a candidate; generating a profile for an ideal candidate comprising (i) a plurality of attributes and (ii) weights corresponding to each of the attributes; receiving, for a plurality of candidates, profiles for each the candidates; comparing the profile of each of the plurality of candidates against the ideal candidate, using a distance method computation to determine the distance between the plurality of candidates and the ideal candidate based upon the weights; ranking the plurality of candidates and providing the ranking to each of the plurality of recruiters; receiving input from each of the plurality of recruiters that modifies the ranking, recalculating the weights of the attributes based upon the modified ranking, and modifying the ranking; and providing a final ranking of the plurality of candidates.
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3.发明申请公开(公告)号：US20220261766A1
公开(公告)日：2022-08-18
申请号：US17729939
申请日：2022-04-26
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
IPC分类号： G06Q10/10 , G06F7/02 , G06F40/30 , G06F40/205
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.
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4.发明授权公开(公告)号：US11410130B2
公开(公告)日：2022-08-09
申请号：US15854837
申请日：2017-12-27
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
IPC分类号： G06Q10/10 , G06F7/02 , G06F40/30 , G06F40/205
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.
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5.发明申请公开(公告)号：US20190197482A1
公开(公告)日：2019-06-27
申请号：US15854837
申请日：2017-12-27
发明人： David G. George , Sudhanshu S. Singh , Joydeep Mondal , Sarthak Ahuja , John A. Medicke , Amanda Klabzuba
CPC分类号： G06Q10/1053 , G06F7/026 , G06F17/2705 , G06F17/2785
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.
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