Patents by Inventor Nick Pendar

Nick Pendar 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).

  • Patent number: 12248467
    Abstract: A computing system configured to perform artificial intelligence-powered search and evaluation functionalities is disclosed. The computer system can receive a natural language search input entered through a user interface, request a search engine to perform a search based on the natural language search input, receive search results returned by the search engine, and submit, in runtime, structured data contained in the search results to a large language model. The structured data includes a table including one or more records and a plurality of fields. The computing system can prompt, in runtime, the large language model to generate scores for the one or more records and present the structured data and the scores on the user interface.
    Type: Grant
    Filed: November 21, 2023
    Date of Patent: March 11, 2025
    Assignee: SAP SE
    Inventors: Nick Pendar, Arjun Rao, Terison Gregory
  • Patent number: 12174872
    Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.
    Type: Grant
    Filed: January 10, 2024
    Date of Patent: December 24, 2024
    Assignee: BYTEDANCE INC.
    Inventor: Nick Pendar
  • Patent number: 12175483
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.
    Type: Grant
    Filed: August 4, 2023
    Date of Patent: December 24, 2024
    Assignee: Bytedance Inc.
    Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
  • Publication number: 20240419981
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.
    Type: Application
    Filed: June 21, 2024
    Publication date: December 19, 2024
    Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
  • Publication number: 20240281864
    Abstract: Systems and methods are provided for segmenting each image of a first plurality of images, using an image processing segmentation technique, into one or more category of a plurality of predefined categories to generate a set of image segments for the image. A numerical vector representation is generated for each image segment and for each image in a second plurality of images and used to determine a similarity between image segments and images in the second plurality of images. Each image segment in each set of image segment are replaced with an image in the second plurality of images that is similar to the image segment to generate a recommendation catalog comprising a plurality of sets of recommendation images.
    Type: Application
    Filed: February 22, 2023
    Publication date: August 22, 2024
    Inventors: Arjun Rao, Nick Pendar
  • Patent number: 12045732
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.
    Type: Grant
    Filed: March 2, 2022
    Date of Patent: July 23, 2024
    Assignee: Bytedance Inc.
    Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
  • Publication number: 20240220526
    Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.
    Type: Application
    Filed: January 10, 2024
    Publication date: July 4, 2024
    Inventor: Nick PENDAR
  • Publication number: 20240202797
    Abstract: Recommendation services typically struggle with sparse data scenarios. A cold generated item start technique can find a warm generated item as a suitable proxy in a matrix representing co-occurrences of generated items. Embeddings can be used to determine distance between items. The technologies are useful for providing recommendations even in scenarios involving little or no transaction data.
    Type: Application
    Filed: December 16, 2022
    Publication date: June 20, 2024
    Applicant: SAP SE
    Inventors: Nick Pendar, Arjun Rao
  • Publication number: 20240202798
    Abstract: Recommendation services typically struggle with sparse data scenarios. A freezing generated item start technique can use a matrix of external generated items to find a linking generated item. Embeddings can be used to determine distance between items. The technologies are useful for providing recommendations even in scenarios involving little or no transaction data.
    Type: Application
    Filed: December 16, 2022
    Publication date: June 20, 2024
    Applicant: SAP SE
    Inventors: Nick Pendar, Seyed Farhad Faghihi
  • Publication number: 20240163275
    Abstract: Past login activity is used to train a machine learning model and pre-compute network intrusion risk profiles. Subsequent login attempts can be evaluated with the pre-computed network intrusion risk profiles. If the profile shows sufficient intrusion risk, actions can be taken to avoid intrusion, such as requiring further authentication steps.
    Type: Application
    Filed: November 16, 2022
    Publication date: May 16, 2024
    Applicant: SAP America, Inc.
    Inventors: Nick Pendar, Vahid Bisadi, Sanjeev Chakavarty
  • Patent number: 11907277
    Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.
    Type: Grant
    Filed: February 6, 2023
    Date of Patent: February 20, 2024
    Assignee: GROUPON, INC.
    Inventor: Nick Pendar
  • Publication number: 20240029086
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.
    Type: Application
    Filed: August 4, 2023
    Publication date: January 25, 2024
    Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
  • Publication number: 20230315772
    Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.
    Type: Application
    Filed: February 6, 2023
    Publication date: October 5, 2023
    Inventor: Nick PENDAR
  • Patent number: 11756059
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: September 12, 2023
    Assignee: Groupon, Inc.
    Inventors: Shawn Ryan Jeffery, Nick Pendar, Richard Clark Barber
  • Patent number: 11755376
    Abstract: Task/resources are randomly assigned a number of times and a score for each solution of the random assignment is calculated. Using machine learning and artificial intelligence, a subset of the solutions is selected. Assignment of task/resource within the subset may be randomly changed, e.g., a task/resource assignment between two entities, a task/resource within the selected subset may be replaced with another task/resource (without swapping), etc. The additional solutions form a super solution with the selected subset and the score associated with the additional solutions are calculated. The process of selection of assignments, random changes to the assignment and calculating the scores associated with the new solutions is repeated a number of times until a certain condition is met, e.g., a number of iterations, time out, improvement between two iterations is less than a certain threshold, etc. Once the certain condition is satisfied, a solution is selected.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: September 12, 2023
    Assignee: CALLIDUS SOFTWARE, INC.
    Inventors: Nick Pendar, Eric Christopher Hagen
  • Patent number: 11599567
    Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: March 7, 2023
    Assignee: Groupon, Inc.
    Inventor: Nick Pendar
  • Publication number: 20230045330
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for generating an optimal classifying query set for categorizing and/or labeling textual data based on a query subsumption calculus to determine, given two queries, whether one of the queries subsumes another. In one aspect, a method includes generating a group of determining queries based on analyzing text within a document; receiving a group of classifying queries; and, for each determining query within the group of determining queries, determining whether at least one of the classifying queries is subsumed by the determining query; and updating the group of classifying queries in an instance in which the classifying query is subsumed by the determining query.
    Type: Application
    Filed: June 29, 2022
    Publication date: February 9, 2023
    Inventor: NICK PENDAR
  • Publication number: 20230009563
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.
    Type: Application
    Filed: June 16, 2022
    Publication date: January 12, 2023
    Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
  • Publication number: 20220300828
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.
    Type: Application
    Filed: March 2, 2022
    Publication date: September 22, 2022
    Inventors: Mark Thomas Daly, Shawn Ryan Jeffery, Matthew DeLand, Nick Pendar, Andrew James, David Johnston
  • Patent number: 11403331
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for generating an optimal classifying query set for categorizing and/or labeling textual data based on a query subsumption calculus to determine, given two queries, whether one of the queries subsumes another. In one aspect, a method includes generating a group of determining queries based on analyzing text within a document; receiving a group of classifying queries; and, for each determining query within the group of determining queries, determining whether at least one of the classifying queries is subsumed by the determining query; and updating the group of classifying queries in an instance in which the classifying query is subsumed by the determining query.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: August 2, 2022
    Assignee: Groupon, Inc.
    Inventor: Nick Pendar