Patents by Inventor Priyam Bakliwal

Priyam Bakliwal 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).

  • Generating user-specific entity interlinkages of extracted enterprise topic descriptions
    Patent number: 11874939
    Abstract: An entity interlinkage platform may receive a corpus of enterprise documents and user profile data that corresponds to an individual user. The entity interlinkage platform utilizes topic extraction models to extract entities from the corpus and further utilizes the user profile data to generate a knowledge graph that includes interlinkages between the extracted entities. The entity interlinkage platform may identify a multitude of topic descriptions and corresponding topic terms from source documents that an access control list permits an individual user to access. Then, based on the user profile data, the entity interlinkage platform may generate a knowledge graph that is tailored for the individual user's specific purposes within the enterprise. For example, the knowledge graph may be generated based on knowledge graph preferences (which may be defined by the individual user) indicating preferred topic description types and/or levels of detail in association with specific topics and/or categories of topics.
    Type: Grant
    Filed: January 30, 2021
    Date of Patent: January 16, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Vipindeep Vangala, Ranganath Kondapally, Pankaj Vasant Khanzode, Beethika Tripathi, Daraksha Parveen, Madan Gopal Jhanwar, Jimish Bhayani, Priyam Bakliwal, Jatin Kakkar
  • EXTRACTING AND SURFACING CONTEXTUALLY RELEVANT TOPIC DESCRIPTIONS
    Publication number: 20220405290
    Abstract: Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.
    Type: Application
    Filed: August 23, 2022
    Publication date: December 22, 2022
    Inventors: Vipindeep VANGALA, Ranganath KONDAPALLY, Beethika TRIPATHI, Madan Gopal JHANWAR, Jimish BHAYANI, Daraksha PARVEEN, Priyam BAKLIWAL, Pankaj Vasant KHANZODE
  • Extracting and surfacing contextually relevant topic descriptions
    Patent number: 11461339
    Abstract: Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.
    Type: Grant
    Filed: January 30, 2021
    Date of Patent: October 4, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Vipindeep Vangala, Ranganath Kondapally, Beethika Tripathi, Madan Gopal Jhanwar, Jimish Bhayani, Daraksha Parveen, Priyam Bakliwal, Pankaj Vasant Khanzode
  • DETECTION OF DRIVING ACTIONS THAT MITIGATE RISK
    Publication number: 20220253021
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Application
    Filed: April 25, 2022
    Publication date: August 11, 2022
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Anubhav, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • EXTRACTING AND SURFACING CONTEXTUALLY RELEVANT TOPIC DESCRIPTIONS
    Publication number: 20220245159
    Abstract: Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.
    Type: Application
    Filed: January 30, 2021
    Publication date: August 4, 2022
    Inventors: Vipindeep VANGALA, Ranganath KONDAPALLY, Beethika TRIPATHI, Madan Gopal JHANWAR, Jimish BHAYANI, Daraksha PARVEEN, Priyam BAKLIWAL, Pankaj Vasant KHANZODE
  • GENERATING USER-SPECIFIC ENTITY INTERLINKAGES OF EXTRACTED ENTERPRISE TOPIC DESCRIPTIONS
    Publication number: 20220245267
    Abstract: An entity interlinkage platform may receive a corpus of enterprise documents and user profile data that corresponds to an individual user. The entity interlinkage platform utilizes topic extraction models to extract entities from the corpus and further utilizes the user profile data to generate a knowledge graph that includes interlinkages between the extracted entities. The entity interlinkage platform may identify a multitude of topic descriptions and corresponding topic terms from source documents that an access control list permits an individual user to access. Then, based on the user profile data, the entity interlinkage platform may generate a knowledge graph that is tailored for the individual user's specific purposes within the enterprise. For example, the knowledge graph may be generated based on knowledge graph preferences (which may be defined by the individual user) indicating preferred topic description types and/or levels of detail in association with specific topics and/or categories of topics.
    Type: Application
    Filed: January 30, 2021
    Publication date: August 4, 2022
    Inventors: Vipindeep VANGALA, Ranganath KONDAPALLY, Pankaj Vasant KHANZODE, Beethika TRIPATHI, Daraksha PARVEEN, Madan Gopal JHANWAR, Jimish BHAYANI, Priyam BAKLIWAL, Jatin KAKKAR
  • Detection of driving actions that mitigate risk
    Patent number: 11314209
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: April 26, 2022
    Assignee: NETRADYNE, INC.
    Inventors: Michael Campos, . Anubhav, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • DETECTION OF DRIVING ACTIONS THAT MITIGATE RISK
    Publication number: 20210003975
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Application
    Filed: September 18, 2020
    Publication date: January 7, 2021
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • Detection of driving actions that mitigate risk
    Patent number: 10782654
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: September 22, 2020
    Assignee: Netradyne, Inc.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • DETECTION OF DRIVING ACTIONS THAT MITIGATE RISK
    Publication number: 20200166897
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Application
    Filed: December 3, 2019
    Publication date: May 28, 2020
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal