Patents by Inventor Joydeep MONDAL
Joydeep MONDAL has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11934921Abstract: 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.Type: GrantFiled: August 28, 2019Date of Patent: March 19, 2024Assignee: International Business Machines CorporationInventors: Vinayak Sastri, Joydeep Mondal, Abhijit Mishra, Seema Nagar, Kuntal Dey
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Publication number: 20220261766Abstract: 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.Type: ApplicationFiled: April 26, 2022Publication date: August 18, 2022Inventors: David G. George, Sudhanshu S. Singh, Joydeep Mondal, Sarthak Ahuja, John A. Medicke, Amanda Klabzuba
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Patent number: 11410130Abstract: 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.Type: GrantFiled: December 27, 2017Date of Patent: August 9, 2022Assignee: International Business Machines CorporationInventors: David G. George, Sudhanshu S. Singh, Joydeep Mondal, Sarthak Ahuja, John A. Medicke, Amanda Klabzuba
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Patent number: 10970898Abstract: 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.Type: GrantFiled: October 10, 2018Date of Patent: April 6, 2021Assignee: International Business Machines CorporationInventors: Sarthak Ahuja, Joydeep Mondal, Kushal Mukherjee, Sudhanshu Shekhar Singh
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Publication number: 20210065043Abstract: 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.Type: ApplicationFiled: August 28, 2019Publication date: March 4, 2021Inventors: Vinayak SASTRI, Joydeep MONDAL, Abhijit MISHRA, Seema NAGAR, Kuntal DEY
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Patent number: 10838968Abstract: Embodiments for recommending exemplars of a data-set by a processor. A selected number of exemplars may be labeled from one or more classes in a data-set. One or more class exemplars for each of the one or more classes in the data-set may be recommended according to similarities between the selected number of labeled exemplars and remaining data of the data-set.Type: GrantFiled: January 10, 2018Date of Patent: November 17, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Shrihari Vasudevan, Joydeep Mondal, Richard H. Zhou, Michael Peran, Michael W. Ticknor, Daniel Augenstern
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Publication number: 20200118312Abstract: 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.Type: ApplicationFiled: October 10, 2018Publication date: April 16, 2020Inventors: Sarthak Ahuja, Joydeep Mondal, Kushal Mukherjee, Sudhanshu Shekhar Singh
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Publication number: 20190213273Abstract: Embodiments for recommending exemplars of a data-set by a processor. A selected number of exemplars may be labeled from one or more classes in a data-set. One or more class exemplars for each of the one or more classes in the data-set may be recommended according to similarities between the selected number of labeled exemplars and remaining data of the data-set.Type: ApplicationFiled: January 10, 2018Publication date: July 11, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Shrihari VASUDEVAN, Joydeep MONDAL, Richard H. ZHOU, Michael PERAN, Michael W. TICKNOR, Daniel AUGENSTERN
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Publication number: 20190197482Abstract: 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.Type: ApplicationFiled: December 27, 2017Publication date: June 27, 2019Inventors: David G. George, Sudhanshu S. Singh, Joydeep Mondal, Sarthak Ahuja, John A. Medicke, Amanda Klabzuba
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Publication number: 20190188742Abstract: Embodiments for estimating substitutability between skills by combining skill similarities from one or more data sources by a processor. An adjacency of skill similarity of one or more skills of one or more entities may be determined. The adjacency of skill similarity may be used to generate one or more skill clusters. Skill demand of the one or more skill clusters may be forecasted.Type: ApplicationFiled: December 20, 2017Publication date: June 20, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Shrihari VASUDEVAN, Moninder SINGH, Joydeep MONDAL, Michael PERAN, Ben ZWEIG, Brian JOHNSTON, Rachel M. ROSENFELD, Pankaj SRIVASTAVA, Owen CROPPER, Steven LOEHR