Patents by Inventor RAVNEET GHUMAN
RAVNEET GHUMAN 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: 11934928Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: GrantFiled: April 6, 2023Date of Patent: March 19, 2024Assignee: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Publication number: 20230316144Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: ApplicationFiled: April 6, 2023Publication date: October 5, 2023Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Publication number: 20230315996Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: June 6, 2023Publication date: October 5, 2023Applicant: American Express Travel Related Services Company, Inc.Inventors: Ravi BATRA, Sandeep BOSE, Mario FRAGOSO, Ravneet GHUMAN, Madhu Sudan Reddy GUDUR, Suraj MADNANI, Curtis T. MERRYWEATHER, Ravi VARMA, Vinod YADAV
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Patent number: 11775357Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.Type: GrantFiled: January 20, 2021Date of Patent: October 3, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Sandeep Bose, Shashank Kapoor, Rahul Panwar, Nikhil Jain, Vinod Yadav
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Patent number: 11748656Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: GrantFiled: February 19, 2020Date of Patent: September 5, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Patent number: 11714968Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: GrantFiled: February 24, 2022Date of Patent: August 1, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravi Batra, Sandeep Bose, Mario Fragoso, Ravneet Ghuman, Madhu Sudan Reddy Gudur, Suraj Madnani, Curtis T. Merryweather, Ravi Varma, Vinod Yadav
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Publication number: 20220391593Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naive Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: February 24, 2022Publication date: December 8, 2022Applicant: American Express Travel Related Services Company, Inc.Inventors: Ravi BATRA, Sandeep BOSE, Mario FRAGOSO, Ravneet GHUMAN, Madhu Sudan Reddy GUDUR, Suraj MADNANI, Curtis T. MERRYWEATHER, Ravi VARMA, Vinod YADAV
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Patent number: 11288456Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: GrantFiled: December 11, 2018Date of Patent: March 29, 2022Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravi Batra, Sandeep Bose, Mario Fragoso, Ravneet Ghuman, Madhu Sudan Reddy Gudur, Suraj Madnani, Curtis T. Merryweather, Ravi Varma, Vinod Yadav
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Publication number: 20200184017Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: December 11, 2018Publication date: June 11, 2020Applicant: American Express Travel Related Services Company, Inc.Inventors: RAVI BATRA, SANDEEP BOSE, MARIO FRAGOSO, RAVNEET GHUMAN, MADHU SUDAN REDDY GUDUR, SURAJ MADNANI, CURTIS T. MERRYWEATHER, RAVI VARMA, VINOD YADAV
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Publication number: 20100005015Abstract: Conventional Paper Invoices are used as receipt of payment for services, products etc. These Invoices have to be maintained for stipulated time, dictated by the guarantees, warranties, post sales service agreement period etc and maintaining these invoices becomes difficult with time and growth in number. The present invention proposes a solution based on Electronic Invoices to overcome the problems associated with maintaining huge number of paper invoices for a long period of time. Electronic Invoices are electronic presentation of paper invoices and are equivalent in all respects except that electronic medium is used instead of paper. Other exciting possibilities, such as permanent electronic archival, easy global access through Internet and through various devices including handhelds, ATM's etc, exist. The present invention not only solves the problems mentioned above but also eliminates the printing, infrastructure related costs.Type: ApplicationFiled: July 2, 2009Publication date: January 7, 2010Inventors: RAVNEET GHUMAN, ASHISH RAJ