-
公开(公告)号:US11934921B2
公开(公告)日:2024-03-19
申请号:US16554076
申请日:2019-08-28
发明人: Vinayak Sastri , Joydeep Mondal , Abhijit Mishra , Seema Nagar , Kuntal Dey
CPC分类号: G06N20/00 , G06F16/285
摘要: Methods, computer program products, and systems are presented. The methods include, for instance: training of a machine learning model for predicting a rating in certain content rating systems based on training data. The machine learning model includes a plurality of maturity classifiers corresponding to individual features of the previously rated contents. An input content is obtained and features of the input content are extracted by use of respective content analysis tools and subsequently classified by the maturity classifiers of the machine learning model.
-
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.
-
3.
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.
-
4.
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.
-
5.
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.
-
-
-
-